1
0
mirror of https://github.com/owid/notebooks.git synced 2022-02-20 23:00:32 +03:00

Democracy age update

This commit is contained in:
Bastian Herre
2022-02-02 18:23:33 +01:00
parent 6cc4761196
commit 78ebb4938f
8 changed files with 46985 additions and 46389 deletions

View File

@@ -6,15 +6,46 @@ This repository contains the code written and datasets created for my projects a
The data are used in the following posts:
- [200 years ago, everyone lacked democratic rights. Now, more than a billion people have them.](https://ourworldindata.org/democratic-rights)
- [The Regimes of the World data: how do researchers identify which countries are democracies?](https://ourworldindata.org/regimes-of-the-world-data)
- [In most countries, democracy is a recent achievement. Dictatorship is far from a distant memory](https://ourworldindata.org/democracies-age)
`regimes_owid.csv` and `regimes_owid.dta` include the following variables:
- `country_name`: country name
- `year`: year
- `regime_row_owid`: political regime based on [Lührmann et al. (2018)](https://www.cogitatiopress.com/politicsandgovernance/article/view/1214/0), using data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my coding in `regimes_owid.do`; 0 = closed autocracy, 1 = electoral autocracy, 2 = electoral democracy, 3 = liberal democracy.
- `regime_row_imputed`: regime imputed from another country; 1 = yes, 0 = no.
- `regime_row_imputed_country_name`: name of the country from which regime was imputed.
- `electdem_age_row_owid`: age of electoral democracy, based on `regime_row_owid`
- `electdem_age_group_row_owid`: age group of electoral democracy, based on `electdem_age_row_owid`
- `libdem_age_row_owid`: age of liberal democracy, based on `regime_row_owid`
- `libdem_age_group_row_owid`: age group of liberal democracy, based on `libdem_age_row_owid`
- `electdem_vdem_owid`: electoral democracy, central estimate, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `electfreefair_vdem_owid`: free and fair elections, central estimate, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `electfreefair_vdem_owid_low`: free and fair elections, lower bound
- `electfreefair_vdem_owid_high`: free and fair elections, upper bound
- `suffr_vdem_owid`: suffrage, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `electoff_vdem_owid`: elected officials, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `freeexpr_vdem_owid`: freedom of expression and alternative sources of information, central estimate, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `freeexpr_vdem_owid_low`: freedom of expression and alternative sources of information, lower bound
- `freeexpr_vdem_owid_high`: freedom of expression and alternative sources of information, upper bound
- `freeassoc_vdem_owid`: freedom of association, central estimate, using Data from [V-Dem (v11.1)](https://www.v-dem.net/en/data/data/v-dem-dataset-v111/) and my imputations in `regimes_owid.do`
- `freeassoc_vdem_owid_low`: freedom of association, lower bound
- `freeassoc_vdem_owid_high`: freedom of association, upper bound
- `regime_row_imputed`: regime information imputed from another country; 1 = yes, 0 = no.
- `regime_row_imputed_country_name`: name of the country from which regime information was imputed.
`regimes_number_owid.csv` and `regimes_number_owid.dta` include the following variables:
- `entity_name`: entity name
- `year`: Year
- `number_electdem_0`: Number of countries which are not electoral democracies.
- `number_electdem_18`: Number of electoral democracies aged 1-18 years.
- `number_electdem_30`: Number of electoral democracies aged 19-30 years.
- `number_electdem_60`: Number of electoral democracies aged 31-60 years.
- `number_electdem_90`: Number of electoral democracies aged 61-90 years.
- `number_electdem_91plus`: Number of electoral democracies aged 91 years or older.
- `number_libdem_0`: Number of countries which are not liberal democracies.
- `number_electdem_18`: Number of liberal democracies aged 1-18 years.
- `number_electdem_30`: Number of liberal democracies aged 19-30 years.
- `number_electdem_60`: Number of liberal democracies aged 31-60 years.
- `number_electdem_90`: Number of liberal democracies aged 61-90 years.
- `number_electdem_91plus`: Number of liberal democracies aged 91 years or older.
`regimes_population_owid.csv` and `regimes_population_owid.dta` include the following variables:
- `entity_name`: entity name

View File

@@ -0,0 +1,233 @@
entity_name,year,number_electdem_0,number_electdem_18,number_electdem_30,number_electdem_60,number_electdem_90,number_electdem_91plus,number_libdem_0,number_libdem_18,number_libdem_30,number_libdem_60,number_libdem_90,number_libdem_91plus
World,1789,66,0,0,0,0,0,66,0,0,0,0,0
World,1790,68,0,0,0,0,0,68,0,0,0,0,0
World,1791,69,0,0,0,0,0,69,0,0,0,0,0
World,1792,69,0,0,0,0,0,69,0,0,0,0,0
World,1793,69,0,0,0,0,0,69,0,0,0,0,0
World,1794,69,0,0,0,0,0,69,0,0,0,0,0
World,1795,71,0,0,0,0,0,71,0,0,0,0,0
World,1796,70,0,0,0,0,0,70,0,0,0,0,0
World,1797,70,0,0,0,0,0,70,0,0,0,0,0
World,1798,70,0,0,0,0,0,70,0,0,0,0,0
World,1799,70,0,0,0,0,0,70,0,0,0,0,0
World,1800,71,0,0,0,0,0,71,0,0,0,0,0
World,1801,72,0,0,0,0,0,72,0,0,0,0,0
World,1802,74,0,0,0,0,0,74,0,0,0,0,0
World,1803,73,0,0,0,0,0,73,0,0,0,0,0
World,1804,73,0,0,0,0,0,73,0,0,0,0,0
World,1805,73,0,0,0,0,0,73,0,0,0,0,0
World,1806,73,0,0,0,0,0,73,0,0,0,0,0
World,1807,74,0,0,0,0,0,74,0,0,0,0,0
World,1808,73,0,0,0,0,0,73,0,0,0,0,0
World,1809,73,0,0,0,0,0,73,0,0,0,0,0
World,1810,73,0,0,0,0,0,73,0,0,0,0,0
World,1811,73,0,0,0,0,0,73,0,0,0,0,0
World,1812,73,0,0,0,0,0,73,0,0,0,0,0
World,1813,75,0,0,0,0,0,75,0,0,0,0,0
World,1814,76,0,0,0,0,0,76,0,0,0,0,0
World,1815,81,0,0,0,0,0,81,0,0,0,0,0
World,1816,81,0,0,0,0,0,81,0,0,0,0,0
World,1817,82,0,0,0,0,0,82,0,0,0,0,0
World,1818,82,0,0,0,0,0,82,0,0,0,0,0
World,1819,82,0,0,0,0,0,82,0,0,0,0,0
World,1820,81,0,0,0,0,0,81,0,0,0,0,0
World,1821,85,0,0,0,0,0,85,0,0,0,0,0
World,1822,85,0,0,0,0,0,85,0,0,0,0,0
World,1823,85,0,0,0,0,0,85,0,0,0,0,0
World,1824,84,0,0,0,0,0,84,0,0,0,0,0
World,1825,86,0,0,0,0,0,86,0,0,0,0,0
World,1826,87,0,0,0,0,0,87,0,0,0,0,0
World,1827,87,0,0,0,0,0,87,0,0,0,0,0
World,1828,87,0,0,0,0,0,87,0,0,0,0,0
World,1829,87,0,0,0,0,0,87,0,0,0,0,0
World,1830,89,0,0,0,0,0,89,0,0,0,0,0
World,1831,90,0,0,0,0,0,90,0,0,0,0,0
World,1832,91,0,0,0,0,0,91,0,0,0,0,0
World,1833,91,0,0,0,0,0,91,0,0,0,0,0
World,1834,92,0,0,0,0,0,92,0,0,0,0,0
World,1835,92,0,0,0,0,0,92,0,0,0,0,0
World,1836,92,0,0,0,0,0,92,0,0,0,0,0
World,1837,92,0,0,0,0,0,92,0,0,0,0,0
World,1838,95,0,0,0,0,0,95,0,0,0,0,0
World,1839,96,0,0,0,0,0,96,0,0,0,0,0
World,1840,96,0,0,0,0,0,96,0,0,0,0,0
World,1841,97,0,0,0,0,0,97,0,0,0,0,0
World,1842,97,0,0,0,0,0,97,0,0,0,0,0
World,1843,97,0,0,0,0,0,97,0,0,0,0,0
World,1844,98,0,0,0,0,0,98,0,0,0,0,0
World,1845,98,0,0,0,0,0,98,0,0,0,0,0
World,1846,99,0,0,0,0,0,99,0,0,0,0,0
World,1847,97,0,0,0,0,0,97,0,0,0,0,0
World,1848,100,0,0,0,0,0,100,0,0,0,0,0
World,1849,98,1,0,0,0,0,98,1,0,0,0,0
World,1850,98,1,0,0,0,0,98,1,0,0,0,0
World,1851,98,1,0,0,0,0,98,1,0,0,0,0
World,1852,99,1,0,0,0,0,99,1,0,0,0,0
World,1853,100,1,0,0,0,0,100,1,0,0,0,0
World,1854,100,1,0,0,0,0,100,1,0,0,0,0
World,1855,100,1,0,0,0,0,100,1,0,0,0,0
World,1856,100,1,0,0,0,0,100,1,0,0,0,0
World,1857,100,1,0,0,0,0,100,1,0,0,0,0
World,1858,99,2,0,0,0,0,99,2,0,0,0,0
World,1859,99,2,0,0,0,0,99,2,0,0,0,0
World,1860,97,2,0,0,0,0,97,2,0,0,0,0
World,1861,95,2,0,0,0,0,95,2,0,0,0,0
World,1862,93,2,0,0,0,0,93,2,0,0,0,0
World,1863,94,2,0,0,0,0,94,2,0,0,0,0
World,1864,94,2,0,0,0,0,94,2,0,0,0,0
World,1865,94,2,0,0,0,0,94,2,0,0,0,0
World,1866,94,2,0,0,0,0,94,2,0,0,0,0
World,1867,93,1,1,0,0,0,93,1,1,0,0,0
World,1868,88,1,1,0,0,0,88,1,1,0,0,0
World,1869,88,1,1,0,0,0,88,1,1,0,0,0
World,1870,88,1,1,0,0,0,88,1,1,0,0,0
World,1871,88,1,1,0,0,0,88,1,1,0,0,0
World,1872,84,1,1,0,0,0,84,1,1,0,0,0
World,1873,84,1,1,0,0,0,84,1,1,0,0,0
World,1874,83,2,1,0,0,0,84,1,1,0,0,0
World,1875,83,2,1,0,0,0,84,1,1,0,0,0
World,1876,84,1,2,0,0,0,85,0,2,0,0,0
World,1877,84,1,2,0,0,0,85,0,2,0,0,0
World,1878,84,1,2,0,0,0,85,0,2,0,0,0
World,1879,83,1,1,1,0,0,84,0,1,1,0,0
World,1880,83,1,1,1,0,0,84,0,1,1,0,0
World,1881,83,1,1,1,0,0,84,0,1,1,0,0
World,1882,83,1,1,1,0,0,84,0,1,1,0,0
World,1883,83,1,1,1,0,0,84,0,1,1,0,0
World,1884,83,1,1,1,0,0,84,0,1,1,0,0
World,1885,81,1,1,1,0,0,82,0,1,1,0,0
World,1886,81,1,1,1,0,0,82,0,1,1,0,0
World,1887,79,2,1,1,0,0,81,0,1,1,0,0
World,1888,79,2,0,2,0,0,81,0,0,2,0,0
World,1889,79,2,0,2,0,0,81,0,0,2,0,0
World,1890,79,2,0,2,0,0,81,0,0,2,0,0
World,1891,79,2,0,2,0,0,81,0,0,2,0,0
World,1892,80,1,1,2,0,0,82,0,0,2,0,0
World,1893,79,1,1,2,0,0,81,0,0,2,0,0
World,1894,79,1,1,2,0,0,81,0,0,2,0,0
World,1895,77,2,1,2,0,0,79,1,0,2,0,0
World,1896,77,2,1,2,0,0,79,1,0,2,0,0
World,1897,77,2,1,2,0,0,79,1,0,2,0,0
World,1898,77,2,1,2,0,0,79,1,0,2,0,0
World,1899,78,1,1,2,0,0,80,0,0,2,0,0
World,1900,138,2,1,2,0,0,140,1,0,2,0,0
World,1901,139,2,1,2,0,0,141,1,0,2,0,0
World,1902,140,3,1,2,0,0,142,2,0,2,0,0
World,1903,143,3,1,2,0,0,145,2,0,2,0,0
World,1904,144,4,0,3,0,0,147,2,0,2,0,0
World,1905,143,3,1,3,0,0,146,2,0,2,0,0
World,1906,144,4,1,3,0,0,148,2,0,2,0,0
World,1907,144,4,1,3,0,0,148,2,0,2,0,0
World,1908,144,4,1,3,0,0,148,2,0,2,0,0
World,1909,144,4,1,2,1,0,148,2,0,1,1,0
World,1910,145,4,1,2,1,0,149,2,0,1,1,0
World,1911,147,4,1,2,1,0,151,2,0,1,1,0
World,1912,147,4,1,2,1,0,151,2,0,1,1,0
World,1913,147,4,1,2,1,0,150,3,0,1,1,0
World,1914,150,3,1,2,1,0,153,2,0,1,1,0
World,1915,151,3,1,2,1,0,154,2,0,1,1,0
World,1916,154,3,1,2,1,0,158,2,0,0,1,0
World,1917,154,3,0,3,1,0,158,2,0,0,1,0
World,1918,153,6,0,2,2,0,158,4,0,0,1,0
World,1919,153,8,0,2,2,0,159,5,0,0,1,0
World,1920,147,13,1,2,2,0,158,5,1,0,1,0
World,1921,143,17,1,2,2,0,157,6,1,0,1,0
World,1922,143,19,2,2,2,0,159,7,1,0,1,0
World,1923,142,20,2,2,2,0,159,7,1,0,1,0
World,1924,142,19,3,2,2,0,159,7,1,0,1,0
World,1925,142,19,3,2,2,0,158,8,1,0,1,0
World,1926,143,18,3,2,2,0,158,8,1,0,1,0
World,1927,144,17,3,2,2,0,158,8,1,0,1,0
World,1928,144,17,3,2,2,0,158,8,1,0,1,0
World,1929,144,17,3,2,2,0,158,8,1,0,1,0
World,1930,145,16,3,2,2,0,158,8,1,0,1,0
World,1931,145,16,3,2,2,0,158,7,2,0,1,0
World,1932,139,17,2,3,2,0,153,7,1,1,1,0
World,1933,142,14,2,3,2,0,153,7,1,1,1,0
World,1934,145,12,1,3,3,0,154,7,1,1,1,0
World,1935,149,12,1,3,3,0,158,7,1,1,1,0
World,1936,149,10,2,4,3,0,158,5,3,1,1,0
World,1937,150,8,3,4,3,0,158,4,4,1,1,0
World,1938,150,5,6,4,3,0,158,3,5,1,1,0
World,1939,148,3,7,4,2,1,155,2,6,1,0,1
World,1940,154,1,6,3,1,1,159,1,5,0,0,1
World,1941,155,1,6,3,1,1,160,1,5,0,0,1
World,1942,154,1,6,3,1,1,159,1,5,0,0,1
World,1943,155,1,6,2,1,1,159,0,5,1,0,1
World,1944,156,1,6,2,1,1,160,0,5,1,0,1
World,1945,158,2,6,2,1,1,163,0,5,1,0,1
World,1946,156,6,6,2,1,1,161,4,5,1,0,1
World,1947,153,10,6,1,2,1,160,6,5,1,0,1
World,1948,155,11,5,2,1,2,163,6,4,2,0,1
World,1949,154,13,4,3,1,2,162,8,3,3,0,1
World,1950,151,15,4,3,1,2,161,8,2,4,0,1
World,1951,152,15,2,5,1,2,162,8,2,4,0,1
World,1952,150,17,0,7,1,2,161,9,1,5,0,1
World,1953,150,17,0,7,1,2,161,9,1,5,0,1
World,1954,150,17,0,7,1,2,161,9,1,5,0,1
World,1955,149,18,0,7,1,2,161,9,0,6,0,1
World,1956,148,19,0,7,1,2,160,10,0,6,0,1
World,1957,148,18,1,7,1,2,160,10,0,6,0,1
World,1958,150,16,1,7,1,2,160,10,0,6,0,1
World,1959,149,17,1,7,1,2,160,10,0,6,0,1
World,1960,147,18,1,7,1,2,159,10,0,6,0,1
World,1961,148,18,1,7,1,2,160,10,0,6,0,1
World,1962,147,19,1,7,1,2,160,10,0,6,0,1
World,1963,145,20,2,7,1,2,160,10,0,6,0,1
World,1964,144,17,6,6,2,2,160,6,4,6,0,1
World,1965,144,13,10,6,2,2,160,4,6,6,0,1
World,1966,144,13,10,6,2,2,159,5,6,6,0,1
World,1967,143,12,12,6,2,2,159,3,8,6,0,1
World,1968,142,11,14,6,2,2,159,3,8,6,0,1
World,1969,142,11,13,7,2,2,158,4,8,6,0,1
World,1970,141,10,15,7,2,2,157,4,9,6,0,1
World,1971,141,11,15,7,2,2,158,4,9,6,0,1
World,1972,142,10,15,7,2,2,158,4,9,6,0,1
World,1973,144,8,16,6,2,2,158,4,9,5,1,1
World,1974,140,11,16,6,2,2,157,3,10,5,1,1
World,1975,140,12,14,7,2,2,157,3,10,5,1,1
World,1976,139,12,10,11,2,2,153,6,6,9,1,1
World,1977,139,13,5,15,1,3,152,7,4,11,1,1
World,1978,138,13,6,14,2,3,152,7,4,10,2,1
World,1979,137,14,4,15,3,3,152,7,2,11,3,1
World,1980,136,15,3,16,3,3,152,7,2,10,4,1
World,1981,136,13,5,14,5,3,152,7,2,10,4,1
World,1982,136,14,4,12,7,3,152,7,1,10,5,1
World,1983,136,14,4,12,7,3,151,8,1,10,5,1
World,1984,134,16,4,12,7,3,151,7,2,10,5,1
World,1985,133,16,5,12,7,3,151,7,2,9,6,1
World,1986,132,16,6,12,7,3,150,8,1,10,6,1
World,1987,132,16,6,12,7,3,150,7,2,10,6,1
World,1988,127,21,6,12,7,3,150,6,3,10,6,1
World,1989,127,21,6,12,7,3,149,7,3,10,6,1
World,1990,115,33,5,13,7,3,146,10,3,10,6,1
World,1991,108,39,5,13,7,3,143,12,3,10,6,1
World,1992,104,41,6,14,7,3,143,12,3,10,6,1
World,1993,101,43,5,16,7,3,142,13,3,10,6,1
World,1994,100,44,6,16,6,4,143,10,6,10,6,1
World,1995,97,46,7,16,6,4,143,9,7,10,6,1
World,1996,94,48,8,16,6,4,140,12,6,11,6,1
World,1997,93,49,7,17,6,4,140,12,6,11,6,1
World,1998,93,48,8,18,6,4,141,12,6,11,6,1
World,1999,90,52,8,18,6,4,141,13,5,12,6,1
World,2000,91,52,7,18,6,4,140,14,4,13,6,1
World,2001,91,52,7,18,6,4,140,13,5,13,6,1
World,2002,85,56,9,18,6,4,140,13,5,13,6,1
World,2003,84,57,10,17,6,4,139,14,5,13,5,2
World,2004,84,56,10,18,6,4,138,14,6,13,5,2
World,2005,86,53,10,18,7,4,138,14,6,13,5,2
World,2006,87,49,12,15,11,4,137,15,3,12,9,2
World,2007,89,48,11,13,14,4,138,14,3,11,11,2
World,2008,87,43,17,14,13,5,138,12,5,11,10,3
World,2009,88,35,24,12,14,6,138,10,7,9,11,4
World,2010,81,40,24,13,15,6,138,11,6,9,10,5
World,2011,82,36,27,13,13,8,138,9,8,9,10,5
World,2012,82,36,27,12,12,10,138,9,8,8,10,6
World,2013,86,31,28,12,12,10,140,7,7,9,10,6
World,2014,84,29,30,14,12,10,139,6,9,9,10,6
World,2015,85,26,31,15,12,10,140,5,9,9,9,7
World,2016,83,27,31,16,12,10,143,4,6,9,10,7
World,2017,82,26,32,17,12,10,143,5,6,8,10,7
World,2018,84,24,30,19,12,10,144,4,7,7,10,7
World,2019,89,21,30,17,12,10,145,4,5,8,10,7
World,2020,87,21,26,22,13,10,147,5,3,7,10,7
1 entity_name year number_electdem_0 number_electdem_18 number_electdem_30 number_electdem_60 number_electdem_90 number_electdem_91plus number_libdem_0 number_libdem_18 number_libdem_30 number_libdem_60 number_libdem_90 number_libdem_91plus
2 World 1789 66 0 0 0 0 0 66 0 0 0 0 0
3 World 1790 68 0 0 0 0 0 68 0 0 0 0 0
4 World 1791 69 0 0 0 0 0 69 0 0 0 0 0
5 World 1792 69 0 0 0 0 0 69 0 0 0 0 0
6 World 1793 69 0 0 0 0 0 69 0 0 0 0 0
7 World 1794 69 0 0 0 0 0 69 0 0 0 0 0
8 World 1795 71 0 0 0 0 0 71 0 0 0 0 0
9 World 1796 70 0 0 0 0 0 70 0 0 0 0 0
10 World 1797 70 0 0 0 0 0 70 0 0 0 0 0
11 World 1798 70 0 0 0 0 0 70 0 0 0 0 0
12 World 1799 70 0 0 0 0 0 70 0 0 0 0 0
13 World 1800 71 0 0 0 0 0 71 0 0 0 0 0
14 World 1801 72 0 0 0 0 0 72 0 0 0 0 0
15 World 1802 74 0 0 0 0 0 74 0 0 0 0 0
16 World 1803 73 0 0 0 0 0 73 0 0 0 0 0
17 World 1804 73 0 0 0 0 0 73 0 0 0 0 0
18 World 1805 73 0 0 0 0 0 73 0 0 0 0 0
19 World 1806 73 0 0 0 0 0 73 0 0 0 0 0
20 World 1807 74 0 0 0 0 0 74 0 0 0 0 0
21 World 1808 73 0 0 0 0 0 73 0 0 0 0 0
22 World 1809 73 0 0 0 0 0 73 0 0 0 0 0
23 World 1810 73 0 0 0 0 0 73 0 0 0 0 0
24 World 1811 73 0 0 0 0 0 73 0 0 0 0 0
25 World 1812 73 0 0 0 0 0 73 0 0 0 0 0
26 World 1813 75 0 0 0 0 0 75 0 0 0 0 0
27 World 1814 76 0 0 0 0 0 76 0 0 0 0 0
28 World 1815 81 0 0 0 0 0 81 0 0 0 0 0
29 World 1816 81 0 0 0 0 0 81 0 0 0 0 0
30 World 1817 82 0 0 0 0 0 82 0 0 0 0 0
31 World 1818 82 0 0 0 0 0 82 0 0 0 0 0
32 World 1819 82 0 0 0 0 0 82 0 0 0 0 0
33 World 1820 81 0 0 0 0 0 81 0 0 0 0 0
34 World 1821 85 0 0 0 0 0 85 0 0 0 0 0
35 World 1822 85 0 0 0 0 0 85 0 0 0 0 0
36 World 1823 85 0 0 0 0 0 85 0 0 0 0 0
37 World 1824 84 0 0 0 0 0 84 0 0 0 0 0
38 World 1825 86 0 0 0 0 0 86 0 0 0 0 0
39 World 1826 87 0 0 0 0 0 87 0 0 0 0 0
40 World 1827 87 0 0 0 0 0 87 0 0 0 0 0
41 World 1828 87 0 0 0 0 0 87 0 0 0 0 0
42 World 1829 87 0 0 0 0 0 87 0 0 0 0 0
43 World 1830 89 0 0 0 0 0 89 0 0 0 0 0
44 World 1831 90 0 0 0 0 0 90 0 0 0 0 0
45 World 1832 91 0 0 0 0 0 91 0 0 0 0 0
46 World 1833 91 0 0 0 0 0 91 0 0 0 0 0
47 World 1834 92 0 0 0 0 0 92 0 0 0 0 0
48 World 1835 92 0 0 0 0 0 92 0 0 0 0 0
49 World 1836 92 0 0 0 0 0 92 0 0 0 0 0
50 World 1837 92 0 0 0 0 0 92 0 0 0 0 0
51 World 1838 95 0 0 0 0 0 95 0 0 0 0 0
52 World 1839 96 0 0 0 0 0 96 0 0 0 0 0
53 World 1840 96 0 0 0 0 0 96 0 0 0 0 0
54 World 1841 97 0 0 0 0 0 97 0 0 0 0 0
55 World 1842 97 0 0 0 0 0 97 0 0 0 0 0
56 World 1843 97 0 0 0 0 0 97 0 0 0 0 0
57 World 1844 98 0 0 0 0 0 98 0 0 0 0 0
58 World 1845 98 0 0 0 0 0 98 0 0 0 0 0
59 World 1846 99 0 0 0 0 0 99 0 0 0 0 0
60 World 1847 97 0 0 0 0 0 97 0 0 0 0 0
61 World 1848 100 0 0 0 0 0 100 0 0 0 0 0
62 World 1849 98 1 0 0 0 0 98 1 0 0 0 0
63 World 1850 98 1 0 0 0 0 98 1 0 0 0 0
64 World 1851 98 1 0 0 0 0 98 1 0 0 0 0
65 World 1852 99 1 0 0 0 0 99 1 0 0 0 0
66 World 1853 100 1 0 0 0 0 100 1 0 0 0 0
67 World 1854 100 1 0 0 0 0 100 1 0 0 0 0
68 World 1855 100 1 0 0 0 0 100 1 0 0 0 0
69 World 1856 100 1 0 0 0 0 100 1 0 0 0 0
70 World 1857 100 1 0 0 0 0 100 1 0 0 0 0
71 World 1858 99 2 0 0 0 0 99 2 0 0 0 0
72 World 1859 99 2 0 0 0 0 99 2 0 0 0 0
73 World 1860 97 2 0 0 0 0 97 2 0 0 0 0
74 World 1861 95 2 0 0 0 0 95 2 0 0 0 0
75 World 1862 93 2 0 0 0 0 93 2 0 0 0 0
76 World 1863 94 2 0 0 0 0 94 2 0 0 0 0
77 World 1864 94 2 0 0 0 0 94 2 0 0 0 0
78 World 1865 94 2 0 0 0 0 94 2 0 0 0 0
79 World 1866 94 2 0 0 0 0 94 2 0 0 0 0
80 World 1867 93 1 1 0 0 0 93 1 1 0 0 0
81 World 1868 88 1 1 0 0 0 88 1 1 0 0 0
82 World 1869 88 1 1 0 0 0 88 1 1 0 0 0
83 World 1870 88 1 1 0 0 0 88 1 1 0 0 0
84 World 1871 88 1 1 0 0 0 88 1 1 0 0 0
85 World 1872 84 1 1 0 0 0 84 1 1 0 0 0
86 World 1873 84 1 1 0 0 0 84 1 1 0 0 0
87 World 1874 83 2 1 0 0 0 84 1 1 0 0 0
88 World 1875 83 2 1 0 0 0 84 1 1 0 0 0
89 World 1876 84 1 2 0 0 0 85 0 2 0 0 0
90 World 1877 84 1 2 0 0 0 85 0 2 0 0 0
91 World 1878 84 1 2 0 0 0 85 0 2 0 0 0
92 World 1879 83 1 1 1 0 0 84 0 1 1 0 0
93 World 1880 83 1 1 1 0 0 84 0 1 1 0 0
94 World 1881 83 1 1 1 0 0 84 0 1 1 0 0
95 World 1882 83 1 1 1 0 0 84 0 1 1 0 0
96 World 1883 83 1 1 1 0 0 84 0 1 1 0 0
97 World 1884 83 1 1 1 0 0 84 0 1 1 0 0
98 World 1885 81 1 1 1 0 0 82 0 1 1 0 0
99 World 1886 81 1 1 1 0 0 82 0 1 1 0 0
100 World 1887 79 2 1 1 0 0 81 0 1 1 0 0
101 World 1888 79 2 0 2 0 0 81 0 0 2 0 0
102 World 1889 79 2 0 2 0 0 81 0 0 2 0 0
103 World 1890 79 2 0 2 0 0 81 0 0 2 0 0
104 World 1891 79 2 0 2 0 0 81 0 0 2 0 0
105 World 1892 80 1 1 2 0 0 82 0 0 2 0 0
106 World 1893 79 1 1 2 0 0 81 0 0 2 0 0
107 World 1894 79 1 1 2 0 0 81 0 0 2 0 0
108 World 1895 77 2 1 2 0 0 79 1 0 2 0 0
109 World 1896 77 2 1 2 0 0 79 1 0 2 0 0
110 World 1897 77 2 1 2 0 0 79 1 0 2 0 0
111 World 1898 77 2 1 2 0 0 79 1 0 2 0 0
112 World 1899 78 1 1 2 0 0 80 0 0 2 0 0
113 World 1900 138 2 1 2 0 0 140 1 0 2 0 0
114 World 1901 139 2 1 2 0 0 141 1 0 2 0 0
115 World 1902 140 3 1 2 0 0 142 2 0 2 0 0
116 World 1903 143 3 1 2 0 0 145 2 0 2 0 0
117 World 1904 144 4 0 3 0 0 147 2 0 2 0 0
118 World 1905 143 3 1 3 0 0 146 2 0 2 0 0
119 World 1906 144 4 1 3 0 0 148 2 0 2 0 0
120 World 1907 144 4 1 3 0 0 148 2 0 2 0 0
121 World 1908 144 4 1 3 0 0 148 2 0 2 0 0
122 World 1909 144 4 1 2 1 0 148 2 0 1 1 0
123 World 1910 145 4 1 2 1 0 149 2 0 1 1 0
124 World 1911 147 4 1 2 1 0 151 2 0 1 1 0
125 World 1912 147 4 1 2 1 0 151 2 0 1 1 0
126 World 1913 147 4 1 2 1 0 150 3 0 1 1 0
127 World 1914 150 3 1 2 1 0 153 2 0 1 1 0
128 World 1915 151 3 1 2 1 0 154 2 0 1 1 0
129 World 1916 154 3 1 2 1 0 158 2 0 0 1 0
130 World 1917 154 3 0 3 1 0 158 2 0 0 1 0
131 World 1918 153 6 0 2 2 0 158 4 0 0 1 0
132 World 1919 153 8 0 2 2 0 159 5 0 0 1 0
133 World 1920 147 13 1 2 2 0 158 5 1 0 1 0
134 World 1921 143 17 1 2 2 0 157 6 1 0 1 0
135 World 1922 143 19 2 2 2 0 159 7 1 0 1 0
136 World 1923 142 20 2 2 2 0 159 7 1 0 1 0
137 World 1924 142 19 3 2 2 0 159 7 1 0 1 0
138 World 1925 142 19 3 2 2 0 158 8 1 0 1 0
139 World 1926 143 18 3 2 2 0 158 8 1 0 1 0
140 World 1927 144 17 3 2 2 0 158 8 1 0 1 0
141 World 1928 144 17 3 2 2 0 158 8 1 0 1 0
142 World 1929 144 17 3 2 2 0 158 8 1 0 1 0
143 World 1930 145 16 3 2 2 0 158 8 1 0 1 0
144 World 1931 145 16 3 2 2 0 158 7 2 0 1 0
145 World 1932 139 17 2 3 2 0 153 7 1 1 1 0
146 World 1933 142 14 2 3 2 0 153 7 1 1 1 0
147 World 1934 145 12 1 3 3 0 154 7 1 1 1 0
148 World 1935 149 12 1 3 3 0 158 7 1 1 1 0
149 World 1936 149 10 2 4 3 0 158 5 3 1 1 0
150 World 1937 150 8 3 4 3 0 158 4 4 1 1 0
151 World 1938 150 5 6 4 3 0 158 3 5 1 1 0
152 World 1939 148 3 7 4 2 1 155 2 6 1 0 1
153 World 1940 154 1 6 3 1 1 159 1 5 0 0 1
154 World 1941 155 1 6 3 1 1 160 1 5 0 0 1
155 World 1942 154 1 6 3 1 1 159 1 5 0 0 1
156 World 1943 155 1 6 2 1 1 159 0 5 1 0 1
157 World 1944 156 1 6 2 1 1 160 0 5 1 0 1
158 World 1945 158 2 6 2 1 1 163 0 5 1 0 1
159 World 1946 156 6 6 2 1 1 161 4 5 1 0 1
160 World 1947 153 10 6 1 2 1 160 6 5 1 0 1
161 World 1948 155 11 5 2 1 2 163 6 4 2 0 1
162 World 1949 154 13 4 3 1 2 162 8 3 3 0 1
163 World 1950 151 15 4 3 1 2 161 8 2 4 0 1
164 World 1951 152 15 2 5 1 2 162 8 2 4 0 1
165 World 1952 150 17 0 7 1 2 161 9 1 5 0 1
166 World 1953 150 17 0 7 1 2 161 9 1 5 0 1
167 World 1954 150 17 0 7 1 2 161 9 1 5 0 1
168 World 1955 149 18 0 7 1 2 161 9 0 6 0 1
169 World 1956 148 19 0 7 1 2 160 10 0 6 0 1
170 World 1957 148 18 1 7 1 2 160 10 0 6 0 1
171 World 1958 150 16 1 7 1 2 160 10 0 6 0 1
172 World 1959 149 17 1 7 1 2 160 10 0 6 0 1
173 World 1960 147 18 1 7 1 2 159 10 0 6 0 1
174 World 1961 148 18 1 7 1 2 160 10 0 6 0 1
175 World 1962 147 19 1 7 1 2 160 10 0 6 0 1
176 World 1963 145 20 2 7 1 2 160 10 0 6 0 1
177 World 1964 144 17 6 6 2 2 160 6 4 6 0 1
178 World 1965 144 13 10 6 2 2 160 4 6 6 0 1
179 World 1966 144 13 10 6 2 2 159 5 6 6 0 1
180 World 1967 143 12 12 6 2 2 159 3 8 6 0 1
181 World 1968 142 11 14 6 2 2 159 3 8 6 0 1
182 World 1969 142 11 13 7 2 2 158 4 8 6 0 1
183 World 1970 141 10 15 7 2 2 157 4 9 6 0 1
184 World 1971 141 11 15 7 2 2 158 4 9 6 0 1
185 World 1972 142 10 15 7 2 2 158 4 9 6 0 1
186 World 1973 144 8 16 6 2 2 158 4 9 5 1 1
187 World 1974 140 11 16 6 2 2 157 3 10 5 1 1
188 World 1975 140 12 14 7 2 2 157 3 10 5 1 1
189 World 1976 139 12 10 11 2 2 153 6 6 9 1 1
190 World 1977 139 13 5 15 1 3 152 7 4 11 1 1
191 World 1978 138 13 6 14 2 3 152 7 4 10 2 1
192 World 1979 137 14 4 15 3 3 152 7 2 11 3 1
193 World 1980 136 15 3 16 3 3 152 7 2 10 4 1
194 World 1981 136 13 5 14 5 3 152 7 2 10 4 1
195 World 1982 136 14 4 12 7 3 152 7 1 10 5 1
196 World 1983 136 14 4 12 7 3 151 8 1 10 5 1
197 World 1984 134 16 4 12 7 3 151 7 2 10 5 1
198 World 1985 133 16 5 12 7 3 151 7 2 9 6 1
199 World 1986 132 16 6 12 7 3 150 8 1 10 6 1
200 World 1987 132 16 6 12 7 3 150 7 2 10 6 1
201 World 1988 127 21 6 12 7 3 150 6 3 10 6 1
202 World 1989 127 21 6 12 7 3 149 7 3 10 6 1
203 World 1990 115 33 5 13 7 3 146 10 3 10 6 1
204 World 1991 108 39 5 13 7 3 143 12 3 10 6 1
205 World 1992 104 41 6 14 7 3 143 12 3 10 6 1
206 World 1993 101 43 5 16 7 3 142 13 3 10 6 1
207 World 1994 100 44 6 16 6 4 143 10 6 10 6 1
208 World 1995 97 46 7 16 6 4 143 9 7 10 6 1
209 World 1996 94 48 8 16 6 4 140 12 6 11 6 1
210 World 1997 93 49 7 17 6 4 140 12 6 11 6 1
211 World 1998 93 48 8 18 6 4 141 12 6 11 6 1
212 World 1999 90 52 8 18 6 4 141 13 5 12 6 1
213 World 2000 91 52 7 18 6 4 140 14 4 13 6 1
214 World 2001 91 52 7 18 6 4 140 13 5 13 6 1
215 World 2002 85 56 9 18 6 4 140 13 5 13 6 1
216 World 2003 84 57 10 17 6 4 139 14 5 13 5 2
217 World 2004 84 56 10 18 6 4 138 14 6 13 5 2
218 World 2005 86 53 10 18 7 4 138 14 6 13 5 2
219 World 2006 87 49 12 15 11 4 137 15 3 12 9 2
220 World 2007 89 48 11 13 14 4 138 14 3 11 11 2
221 World 2008 87 43 17 14 13 5 138 12 5 11 10 3
222 World 2009 88 35 24 12 14 6 138 10 7 9 11 4
223 World 2010 81 40 24 13 15 6 138 11 6 9 10 5
224 World 2011 82 36 27 13 13 8 138 9 8 9 10 5
225 World 2012 82 36 27 12 12 10 138 9 8 8 10 6
226 World 2013 86 31 28 12 12 10 140 7 7 9 10 6
227 World 2014 84 29 30 14 12 10 139 6 9 9 10 6
228 World 2015 85 26 31 15 12 10 140 5 9 9 9 7
229 World 2016 83 27 31 16 12 10 143 4 6 9 10 7
230 World 2017 82 26 32 17 12 10 143 5 6 8 10 7
231 World 2018 84 24 30 19 12 10 144 4 7 7 10 7
232 World 2019 89 21 30 17 12 10 145 4 5 8 10 7
233 World 2020 87 21 26 22 13 10 147 5 3 7 10 7

Binary file not shown.

File diff suppressed because it is too large Load Diff

View File

@@ -1,8 +1,9 @@
***** Stata do-file to create the 'Regimes of the World' data used in several posts on Our World in Data:
***** Stata do-file to create the expanded Regimes of the World (RoW) and Varieties of Democracy (V-Dem) data used in several posts on Our World in Data (OWID):
***** Post 1: "The Regimes of the World data: how do researchers identify which countries are democracies?"
***** Post 2: "200 years ago, everyone lacked democratic rights. Now, billions of people have them."
***** Post 2: "200 years ago, everyone lacked democratic rights. Now, billions of people have them"
***** Post 3: "In most countries, democracy is a recent achievement. Dictatorship is far from a distant memory"
***** Author: Bastian Herre
***** November 29, 2021
***** February 1, 2022
version 14
@@ -11,18 +12,22 @@ clear all
set more off
set varabbrev off
* Set your working directory here:
* Set your own working directories here to run the file:
cd "/Users/bastianherre/Dropbox/Data/"
global project "/Users/bastianherre/Dropbox/Data/"
*** Create master-dataset in which all countries in either V-Dem or OWID population datasets are included, and years included in V-Dem (1789-2020):
* Download V-Dem dataset from https://www.v-dem.net/en/data/data/v-dem-dataset-v111/ and move it into the folder "Coppedge et al. 2021 V-Dem"
* Import V-Dem dataset:
*** Create a master-dataset:
** The master-dataset includes all countries included in either the V-Dem or OWID population dataset, and all years included in V-Dem (1789-2020).
** It allows me to later map the population data onto RoW and V-Dem data.
** Download V-Dem dataset from https://www.v-dem.net/en/data/data/v-dem-dataset-v111/ and move it into the folder "Coppedge et al. 2021 V-Dem"
** Import V-Dem dataset:
use "Coppedge et al. 2021 V-Dem/V-Dem-CY-Full+Others-v11.1.dta", clear
* Harmonize V-Dem and OWID country names:
** Harmonize V-Dem and OWID country names:
replace country_name = "Myanmar" if country_name == "Burma/Myanmar"
replace country_name = "Democratic Republic of Congo" if country_name == "Democratic Republic of the Congo"
replace country_name = "Cote d'Ivoire" if country_name == "Ivory Coast"
@@ -34,22 +39,22 @@ replace country_name = "United States" if country_name == "United States of Amer
replace country_name = "Wuerttemberg" if country_name == "Würtemberg"
replace country_name = "Czechia" if country_name == "Czech Republic"
* Download OWID population data from https://ourworldindata.org/grapher/population and move it into the folder "Our World in Data"
* Merge OWID population into V-Dem data:
** Download OWID population data from https://ourworldindata.org/grapher/population and move it into the folder "Our World in Data"
** Merge OWID population into V-Dem data:
sort country_name year
merge 1:1 country_name year using "Our World in Data/population_owid.dta"
* Take a look at unmerged cases:
** Take a look at unmerged cases:
tab country_name if _merge == 1 & year > 1799 // Unmerged observations in master dataset are from before 1800, are historical countries (e.g. Orange Free State and German Democratic Republic), as well as Kosovo, Palestine/Gaza, Palestine/West Bank, Somaliland, and Zanzibar.
drop _merge
* Only keep one observation per country:
** Only keep one observation per country to avoid duplicates in next step:
keep country_name
sort country_name
duplicates drop
isid country_name
* Expand to country-year dataset with years 1789 to 2020:
** Expand country dataset to country-year dataset with years 1789 to 2020:
expand 232
bysort country_name: generate year = 1788+_n
label variable year "Year"
@@ -61,118 +66,123 @@ save "Political regimes/master.dta", replace
*** Prepare V-Dem data:
* Import V-Dem dataset again:
** Import V-Dem dataset again:
use "Coppedge et al. 2021 V-Dem/V-Dem-CY-Full+Others-v11.1.dta", clear
* Keep variables of interest:
keep country_name country_text_id year v2x_regime v2x_polyarchy v2x_elecreg v2xlg_elecreg v2xex_elecreg v2elmulpar_osp v2elfrfair_osp v2x_liberal v2xlg_legcon v2exnamhos v2exnamhog v2ex_hosw v2expathhg v2expathhs v2exaphos v2exaphogp v2cltrnslw_osp v2clacjstm_osp v2clacjstw_osp v2eltype_0 v2eltype_1 v2eltype_4 v2eltype_5 v2eltype_6 v2eltype_7 v2ex_legconhos v2ex_legconhog v2exhoshog v2ex_hogw v2svindep v2lgqstexp v2lgotovst v2lginvstp v2lgoppart
* Drop superfluous observations:
** Drop superfluous observations:
drop if country_name == "Italy" & year == 1861
replace country_name = "Italy" if country_name == "Piedmont-Sardinia" & year == 1861 // Piedmont-Sardinia became Italy during 1861.
* Recode errors in relative power of head of state and head of government variable in line with feedback by Marcus that head of government Mugabe was more powerful than head of state Banana.
** Recode errors in relative power of head of state and head of government variable in line with feedback by Marcus that head of government Mugabe was more powerful than head of state Banana.
replace v2ex_hosw = 0 if country_name == "Zimbabwe" & year >= 1980 & year <= 1986
replace v2ex_hogw = 1 if country_name == "Zimbabwe" & year >= 1980 & year <= 1986
* Recode error in head of state and head of government variables:
** Recode error in head of state and head of government variables:
list v2exnamhos v2exnamhog v2exhoshog v2ex_hosw v2ex_hogw v2eltype* if country_name == "Russia" & year == 1917
replace v2ex_hosw = 1 if country_name == "Russia" & year == 1917
replace v2ex_hogw = 0 if country_name == "Russia" & year == 1917
* Note: only a head of state (Lenin) listed, so (absent) head of government incorrectly coded as more powerful than head of state; Lenin not appointed by a legislature, but
* Only a head of state (Lenin) listed, so (absent) head of government incorrectly coded as more powerful than head of state; Lenin not appointed by a legislature, but
list year v2exnamhos v2exnamhog v2exhoshog v2ex_hosw v2ex_hogw v2exaphogp if country_name == "Haiti" & year > 1990 & year < 1995
replace v2exnamhos = "Raoul Cédras" if country_name == "Haiti" & year >= 1991 & year <= 1993
replace v2ex_hosw = 1 if country_name == "Haiti" & year >= 1991 & year <= 1993
replace v2ex_hogw = 0 if country_name == "Haiti" & year >= 1991 & year <= 1993
replace v2exaphogp = 0 if country_name == "Haiti" & year >= 1991 & year <= 1993
* Note: Goemans et al.'s (2009) Archigos dataset, rulers.org, and worldstatesmen.org identify non-elected General Raoul Cédras as the de-facto leader of Haiti from 1991 until 1994.
* Goemans et al.'s (2009) Archigos dataset, rulers.org, and worldstatesmen.org identify non-elected General Raoul Cédras as the de-facto leader of Haiti from 1991 until 1994.
** Create expanded Regimes of the World indicator:
* Create numeric country identifier:
*** Create expanded Regimes of the World indicator:
** Create numeric country identifier:
encode country_name, generate(country_number)
* Declare dataset to be time-series data:
** Declare dataset to be time-series data:
tsset country_number year
* Create indicator for multi-party elections with imputed values between election-years:
** Create indicator for multi-party elections with imputed values between election-years:
generate v2elmulpar_osp_imp = v2elmulpar_osp
replace v2elmulpar_osp_imp = l.v2elmulpar_osp_imp if v2elmulpar_osp_imp == . & v2x_elecreg == 1
* Create indicator for free and fair elections with imputed values between election-years:
** Create indicator for free and fair elections with imputed values between election-years:
generate v2elfrfair_osp_imp = v2elfrfair_osp
replace v2elfrfair_osp_imp = l.v2elfrfair_osp_imp if v2elfrfair_osp_imp == . & v2x_elecreg == 1
* Create indicators for multi-party executive elections, and multi-party executive elections with imputed values between election-years:
** Create indicators for multi-party executive elections, and multi-party executive elections with imputed values between election-years:
generate v2elmulpar_osp_ex = v2elmulpar_osp if v2eltype_6 == 1 | v2eltype_7 == 1
generate v2elmulpar_osp_ex_imp = v2elmulpar_osp_ex
replace v2elmulpar_osp_ex_imp = l.v2elmulpar_osp_ex_imp if v2elmulpar_osp_ex_imp == . & v2xex_elecreg == 1
* Create indicators for multi-party legislative elections, and multi-party legislative elections with imputed values between election-years:
** Create indicators for multi-party legislative elections, and multi-party legislative elections with imputed values between election-years:
generate v2elmulpar_osp_leg = v2elmulpar_osp if v2eltype_0 == 1 | v2eltype_1 == 1 | v2eltype_4 == 1 | v2eltype_5 == 1 // v2eltype_4 and v2eltype_5 excluded in Marcus Tannenberg and Anna Lührmann's Stata code; included here to align coding with code in V-Dem's data pipeline.
generate v2elmulpar_osp_leg_imp = v2elmulpar_osp_leg
replace v2elmulpar_osp_leg_imp = l.v2elmulpar_osp_leg_imp if v2elmulpar_osp_leg_imp == . & v2xlg_elecreg == 1
* Create indicator for multi-party head of state elections with imputed values between election-years:
** Create indicator for multi-party head of state elections with imputed values between election-years:
generate v2elmulpar_osp_hos_imp = 0 if v2x_elecreg != .
* Note: Marcus Tannenberg does not know why electoral regime used as filter instead of relative power of heads of state and government as filter, as above; Anna Lührmann wrote this code. Using electoral regime as filter for this and all following variables yields identical coding.
* Marcus Tannenberg does not know why electoral regime used as filter instead of relative power of heads of state and government as filter, as above; Anna Lührmann wrote this code. Using electoral regime as filter for this and all following variables yields identical coding.
replace v2elmulpar_osp_hos_imp = 1 if v2expathhs == 7 & v2xex_elecreg == 1 & v2elmulpar_osp_ex_imp > 1 & v2elmulpar_osp_ex_imp != . // If head of state is directly elected, elections for executive must be multi-party.
replace v2elmulpar_osp_hos_imp = 1 if v2expathhs == 6 & v2xlg_elecreg == 1 & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp !=. // If head of state is appointed by legislature, elections for legislature must be multi-party.
* replace v2elmulpar_osp_hos_imp = 1 if v2ex_legconhos == 1 & v2xlg_elecreg == 1 & v2elmulpar_osp_ex_imp > 1 & v2elmulpar_osp_ex_imp != . // If head of state is appointed otherwise, but approval by the legislature is necessary, elections for legislature must be multi-party.
* Why is v2elmulpar_osp_ex_imp and not v2elmulpar_osp_leg_imp used, if this is about legislative elections? This seems to be an error, which is why I use the following code instead:
* It is unclear why v2elmulpar_osp_ex_imp and not v2elmulpar_osp_leg_imp is used, if this is about legislative elections; this seems to be an error, which is why I use the following code instead:
replace v2elmulpar_osp_hos_imp = 1 if v2ex_legconhos == 1 & v2xlg_elecreg == 1 & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != . // If head of state is appointed otherwise, but approval by the legislature is necessary, elections for legislature must be multi-party.
* Create indicator for multi-party head of government elections with imputed values between election-years:
** Create indicator for multi-party head of government elections with imputed values between election-years:
generate v2elmulpar_osp_hog_imp = 0 if v2x_elecreg != .
replace v2elmulpar_osp_hog_imp = 1 if v2expathhg == 8 & v2xex_elecreg == 1 & v2elmulpar_osp_ex_imp > 1 & v2elmulpar_osp_ex_imp != . // If head of government is directly elected, elections for executive must be multi-party.
replace v2elmulpar_osp_hog_imp = 1 if v2expathhg == 7 & v2xlg_elecreg == 1 & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != . // If head of government is appointed by legislature, elections for legislature must be multi-party.
replace v2elmulpar_osp_hog_imp = 1 if v2expathhg == 6 & v2elmulpar_osp_hos_imp == 1 // If head of government is appointed by the head of state, elections for the head of state must be multi-party.
* replace v2elmulpar_osp_hog_imp = 1 if v2exaphogp == 1 & v2elmulpar_osp_imp != . & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != . // If head of government is appointed otherwise, but approval by the legislature is necessary, elections for legislature must be multi-party.
* Note: Marcus Tannenberg does not know why v2elmulpar_osp_imp used as filter here, and not v2xlg_elecreg; Anna Lührmann may have come up with this fix, as the only five observations coded differently - Cambodia 1973-1974 and Haiti 1992-1994 - in his opinion should be closed autocracies due to no elections being held due to civil war and military rule, respectively.
* Marcus Tannenberg does not know why v2elmulpar_osp_imp used as filter here, and not v2xlg_elecreg; Anna Lührmann may have come up with this fix, as the only five observations coded differently - Cambodia 1973-1974 and Haiti 1992-1994 - in his opinion should be closed autocracies due to no elections being held due to civil war and military rule, respectively.
* But: as described above, Haiti's chief executive is coded incorrectly until 1994, and correcting for that turns the country into a closed autocracy from 1991 to 1993. In 1994 the previously elected president returns, and it is plausible to presume he and his head of government are accountable to the legislature again, making the country an electoral autocracy. And just because a civil war in Cambodia goes on, that does not mean that its chief executive is not accountable to a legislature anymore. I therefore do not use the fix here.
* Yet: I use v2ex_legconhog instead of v2exaphogp to use the variable analogous to v2ex_legconhos above:
replace v2elmulpar_osp_hog_imp = 1 if v2ex_legconhog == 1 & v2xlg_elecreg == 1 & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != . // If head of government is appointed otherwise, but approval by the legislature is necessary, elections for legislature must be multi-party.
* Create indicator for multi-party executive and legislative elections with imputed values between election-years:
** Create indicator for multi-party executive and legislative elections with imputed values between election-years:
generate v2elmulpar_osp_exleg_imp = 0 if v2ex_hosw != .
replace v2elmulpar_osp_exleg_imp = 1 if v2xlg_elecreg == 1 & v2xex_elecreg == 1 & v2elmulpar_osp_ex_imp > 1 & v2elmulpar_osp_ex_imp != . & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != .
* Create indicator for multi-party head of executive elections with imputed values between election-years:
** Create indicator for multi-party head of executive elections with imputed values between election-years:
generate v2elmulpar_osp_hoe_imp = 0 if v2ex_hosw != .
replace v2elmulpar_osp_hoe_imp = v2elmulpar_osp_hos_imp if v2ex_hosw <= 1 & v2ex_hosw > 0.5 // If head of state is more powerful than head of government, head of state is the head of the executive.
replace v2elmulpar_osp_hoe_imp = v2elmulpar_osp_hog_imp if v2ex_hosw <= 0.5 // If head of state is as or less powerful than head of government, head of government is the head of the executive.
* Note: Some values of v2ex_hosw are missing, and using v2exhoshog and v2ex_hogw as well improves coverage; Marcus Lührmann agrees with the addition; I therefore add the next two lines:
* Some values of v2ex_hosw are missing, and using v2exhoshog and v2ex_hogw as well improves coverage; Marcus Lührmann agrees with the addition; I therefore add the next two lines:
replace v2elmulpar_osp_hoe_imp = v2elmulpar_osp_hos_imp if v2exhoshog == 1 // If head of state is also head of government, they are the head of the executive.
replace v2elmulpar_osp_hoe_imp = v2elmulpar_osp_hos_imp if v2ex_hogw == 0 // If head of government is less powerful than head of state, head of state must be more powerful than head of government.
* replace v2elmulpar_osp_hoe_imp = 1 if v2elmulpar_osp_exleg_imp == 1
* Note: Marcus Tannenberg does not know why it is assumed that if legislative and executive are elected in multi-party elections, chief of executive is elected in multi-party elections - even if direct coding seems to disagree; Anna Lührmann wrote this code. This leads to regimes under prominent heads of state which came to office in coup d'etats or rebellions to not be classified as closed autocracies. I therefore do not use this line of code; I compare the differences between my coding and the standard RoW coding below.
* Marcus Tannenberg does not know why it is assumed that if legislative and executive are elected in multi-party elections, chief of executive is elected in multi-party elections - even if direct coding seems to disagree; Anna Lührmann wrote this code. This leads to regimes under prominent heads of state which came to office in coup d'etats or rebellions to not be classified as closed autocracies. I therefore do not use this line of code; I compare the differences between my coding and the standard RoW coding below.
* Create indicator for minimally free and fair and multi-party elections and minimal features of an electoral democracy otherwise:
** Create indicator for minimally free and fair and multi-party elections and minimal features of an electoral democracy otherwise:
generate v2x_polyarchy_dich_row = 0 if v2x_polyarchy != .
replace v2x_polyarchy_dich_row = 1 if v2x_polyarchy > 0.5 & v2x_polyarchy != . & v2elfrfair_osp_imp > 2 & v2elfrfair_osp_imp != . & v2elmulpar_osp_imp > 2 & v2elmulpar_osp_imp != .
* Create indicator for minimally transparent laws, minimal access to the justice system for men and women, and minimal features of a liberal democracy otherwise:
** Create indicator for minimally transparent laws, minimal access to the justice system for men and women, and minimal features of a liberal democracy otherwise:
generate v2x_liberal_dich_row = .
replace v2x_liberal_dich_row = 1 if v2x_liberal > 0.8 & v2x_liberal !=. & v2clacjstm_osp > 3 & v2clacjstm_osp != . & v2clacjstw_osp > 3 & v2clacjstw_osp != . & v2cltrnslw_osp > 3 & v2cltrnslw_osp != .
* Create indicator for Regimes of the World with expanded coverage and minor changes to coding:
** Create indicator for Regimes of the World with expanded coverage and minor changes to coding:
gen v2x_regime_owid = .
replace v2x_regime_owid = 3 if v2x_polyarchy_dich_row == 1 & v2x_liberal_dich_row == 1
replace v2x_regime_owid = 2 if v2x_polyarchy_dich_row == 1 & v2x_liberal_dich_row != 1
replace v2x_regime_owid = 1 if v2x_polyarchy_dich_row == 0 & v2elmulpar_osp_hoe_imp == 1 & v2elmulpar_osp_leg_imp > 1
* The line above means that 101 observations are grouped into this category even though v2elmulpar_osp_leg_imp == ., as . is treated as positive infinity; I still follow RoW instead of not coding these observations.
list country_name year if v2x_polyarchy_dich_row == 0 & v2elmulpar_osp_hoe_imp == 1 & v2elmulpar_osp_leg_imp == .
replace v2x_regime_owid = 0 if v2x_polyarchy_dich_row == 0 & (v2elmulpar_osp_hoe_imp == 0 | v2elmulpar_osp_leg_imp <= 1) // Note: = added to v2elmulpar_osp_leg_imp < 1, even if v2elmulpar_osp_leg_imp != 1 for all observations, for possible future iterations.
replace v2x_regime_owid = 0 if v2x_polyarchy_dich_row == 0 & (v2elmulpar_osp_hoe_imp == 0 | v2elmulpar_osp_leg_imp <= 1) // = added to v2elmulpar_osp_leg_imp < 1, even if v2elmulpar_osp_leg_imp != 1 for all observations, for possible future iterations.
* These coding rules create seven observations which are coded as electoral democracies even though they have a chief executive who neither meets the criteria for direct or indirect election, nor for being dependent on the legislature.
list country_name year v2x_regime_owid v2x_polyarchy v2elmulpar_osp_hoe_imp if v2x_polyarchy > 0.5 & v2x_polyarchy != . & (v2elmulpar_osp_hoe_imp == 0 | v2elmulpar_osp_leg_imp <= 1) & v2x_regime_owid != 0
* I do not change the coding for these observations because I presume that the criteria for electoral democracy overrule the criteria for distinguishing between electoral and closed autocracies. This also means that I cannot use these criteria alone to code some observations for which only v2x_polyarchy is missing.
* But: if one criteria for electoral democracy is not met, and one criteria for electoral autocracy is not met, this must mean that the country is a closed autocracy:
replace v2x_regime_owid = 0 if (v2elfrfair_osp_imp <= 2 | v2elmulpar_osp_imp <= 2) & (v2elmulpar_osp_hoe_imp == 0 | v2elmulpar_osp_leg_imp <= 1) & v2x_regime_owid == .
* This also means that if one criteria for electoral democracy is not met, yet both criteria for an electoral autocracy is met, it must be an electoral autocracy:
replace v2x_regime_owid = 1 if (v2elfrfair_osp_imp <= 2 | v2elmulpar_osp_imp <= 2) & v2elmulpar_osp_hoe_imp == 1 & v2elmulpar_osp_leg_imp > 1 & v2elmulpar_osp_leg_imp != . & v2x_regime_owid == .
** Label indicator for Regimes of the World with expanded coverage and minor changes to coding:
label variable v2x_regime_owid "Regime (Regimes of the World, OWID)"
label define v2x_regime_owid_label 0 "closed autocracy" 1 "electoral autocracy" 2 "electoral democracy" 3 "liberal democracy"
label values v2x_regime_owid v2x_regime_owid_label
@@ -181,18 +191,16 @@ label values v2x_regime_owid v2x_regime_owid_label
** Comparing my and standard RoW coding:
inspect v2x_regime_owid
inspect v2x_polyarchy // Note: Expanded RoW has a slightly larger coverage than the continuous V-Dem measure because some observations are coded without using it.
inspect v2x_polyarchy // Expanded RoW has a slightly larger coverage than the continuous V-Dem measure because some observations are coded without using it.
tab v2x_regime_owid v2x_regime if year >= 1900, m
* Observations own classification identifies as electoral autocracies, whereas RoW identifies them as democracies:
list country_name year if v2x_regime_owid == 1 & v2x_regime == 2
* Papua New Guinea in 2002 and Tanzania in 2010 are coded differently because v2x_polyarchy in Marcus Tannenberg et al.'s input dataset is barely (0.5001598 and 0.5001345) above 0.5, whereas in the official dataset it is rounded to 0.5 and therefore is not above the coding threshold. The same holds for Belgium in 1898, which lies outside of the standard RoW, but which I compared with Johannes von Römer's expanded RoW coding for 1789-2020.
replace v2x_regime_owid = 2 if (country_name == "Tanzania" & year == 2010) | (country_name == "Papua New Guinea" & year == 2002)
replace v2x_regime_owid = 3 if country_name == "Belgium" & year == 1898
* 18 observations own classification identifies as closed autocracies, whereas RoW does not provide data:
list country_name year if v2x_regime_owid == 0 & v2x_regime == . & year >= 1900
* Libya in 1911, 1914, and 1922-1933 can be coded because I use information from v2exhoshog in addition to information from v2ex_hosw to identify head of the executive.
@@ -200,13 +208,11 @@ list v2ex_hosw v2exhoshog if v2x_regime_owid == 0 & v2x_regime == . & year >= 19
* Honduras in 1934 and 1935, Kazakhstan in 1990, and Turkmenistan in 1990 can be coded because I use information from the other criteria for democracies and autocracies in the absence of information from v2x_polyarchy:
list v2x_polyarchy v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp if v2x_regime_owid == 0 & v2x_regime == . & year >= 1900 & country_name != "Libya"
* 13 observations own classification identifies as electoral autocracies, whereas RoW does not provide data:
list country_name year if v2x_regime_owid == 1 & v2x_regime == . & year >= 1900
* Observations can be coded because I use information from the other criteria for democracies and autocracies in the absence of information from v2x_polyarchy:
list v2x_polyarchy v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp if v2x_regime_owid == 1 & v2x_regime == . & year >= 1900
* Observations own classification identifies as closed autocracies, whereas RoW identifies them as electoral autocracies:
list country_name year if v2x_regime_owid == 0 & v2x_regime == 1
@@ -242,7 +248,7 @@ list v2elmulpar_osp_leg_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_ex_imp v2elmul
list v2elmulpar_osp_leg_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_imp v2xlg_elecreg if v2x_regime_owid == 1 & v2x_regime == 0 & v2ex_hosw <= 0.5
* Harmonize V-Dem and OWID country names:
** Harmonize V-Dem and OWID country names:
replace country_name = "Myanmar" if country_name == "Burma/Myanmar"
replace country_name = "Democratic Republic of Congo" if country_name == "Democratic Republic of the Congo"
replace country_name = "Cote d'Ivoire" if country_name == "Ivory Coast"
@@ -255,7 +261,61 @@ replace country_name = "Wuerttemberg" if country_name == "Würtemberg"
replace country_name = "Czechia" if country_name == "Czech Republic"
keep country_name year v2x_regime_owid v2svindep v2x_polyarchy v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp v2x_liberal_dich_row v2x_liberal v2xlg_legcon v2lgqstexp v2lgotovst v2lginvstp v2lgoppart
*** Inspect V-Dem democracy indices, their sub-indices, and upper- and lower-bound estimates wherever available:
inspect v2x_polyarchy
inspect v2x_elecoff
inspect v2xel_frefair
inspect v2x_frassoc_thick
inspect v2x_suffr
inspect v2x_freexp_altinf
inspect v2x_polyarchy_codelow
inspect v2xel_frefair_codelow
inspect v2x_frassoc_thick_codelow
inspect v2x_freexp_altinf_codelow
inspect v2x_polyarchy_codehigh
inspect v2xel_frefair_codehigh
inspect v2x_frassoc_thick_codehigh
inspect v2x_freexp_altinf_codehigh
inspect v2x_libdem
inspect v2x_partipdem
inspect v2x_delibdem
inspect v2x_egaldem
inspect v2x_liberal
inspect v2x_partip
inspect v2xdl_delib
inspect v2x_egal
inspect v2xcl_rol
inspect v2x_jucon
inspect v2xlg_legcon
inspect v2x_cspart
inspect v2xdd_dd
inspect v2xel_locelec
inspect v2xel_regelec
inspect v2dlreason
inspect v2dlcommon
inspect v2dlcountr
inspect v2dlconslt
inspect v2dlengage
inspect v2xeg_eqprotec
inspect v2xeg_eqaccess
inspect v2xeg_eqdr
keep country_name year v2x_regime_owid v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp v2x_liberal_dich_row v2xlg_legcon v2lgqstexp v2lgotovst v2lginvstp v2lgoppart v2svindep ///
v2x_polyarchy v2x_elecoff v2xel_frefair v2x_frassoc_thick v2x_suffr v2x_freexp_altinf v2x_polyarchy_codelow v2xel_frefair_codelow v2x_frassoc_thick_codelow v2x_freexp_altinf_codelow v2x_polyarchy_codehigh v2xel_frefair_codehigh v2x_frassoc_thick_codehigh v2x_freexp_altinf_codehigh ///
v2x_libdem v2x_liberal v2xcl_rol v2x_jucon v2xlg_legcon v2x_libdem_codelow v2x_liberal_codelow v2xcl_rol_codelow v2x_jucon_codelow v2xlg_legcon_codelow v2x_libdem_codehigh v2x_liberal_codehigh v2xcl_rol_codehigh v2x_jucon_codehigh v2xlg_legcon_codehigh ///
v2x_partipdem v2x_partip v2x_cspart v2xdd_dd v2xel_locelec v2xel_regelec v2x_partipdem_codelow v2x_partip_codelow v2x_cspart_codelow v2xel_locelec_codelow v2xel_regelec_codelow v2x_partipdem_codehigh v2x_partip_codehigh v2x_cspart_codehigh v2xel_locelec_codehigh v2xel_regelec_codehigh ///
v2x_delibdem v2xdl_delib v2dlreason v2dlcommon v2dlcountr v2dlconslt v2dlengage v2x_delibdem_codelow v2xdl_delib_codelow v2dlreason_codelow v2dlcommon_codelow v2dlcountr_codelow v2dlconslt_codelow v2dlengage_codelow v2x_delibdem_codehigh v2xdl_delib_codehigh v2dlreason_codehigh v2dlcommon_codehigh v2dlcountr_codehigh v2dlconslt_codehigh v2dlengage_codehigh ///
v2x_egaldem v2x_egal v2xeg_eqprotec v2xeg_eqaccess v2xeg_eqdr v2x_egaldem_codelow v2x_egal_codelow v2xeg_eqprotec_codelow v2xeg_eqaccess_codelow v2xeg_eqdr_codelow v2x_egaldem_codehigh v2x_egal_codehigh v2xeg_eqprotec_codehigh v2xeg_eqaccess_codehigh v2xeg_eqdr_codehigh
save "Political regimes/vdem_temp.dta", replace
@@ -268,33 +328,37 @@ use "Political regimes/master.dta", clear
merge 1:1 country_name year using "Political regimes/vdem_temp.dta"
drop _merge
erase "Political regimes/master.dta"
sort country_name year
** Impute regime data:
* Investigate whether non-independent states have diverse regime types:
*** Expand regime data by imputing values from other countries:
** Investigate whether non-independent states have diverse regime types:
tab v2svindep v2x_regime_owid
* Note: Most non-independent states are closed autocracies, but there are some electoral autocracies (and even electoral and liberal democracies: Australia 1858-1899, Iceland 1920-1943, Slovenia 1991). Non-independent states therefore better not be imputed as (closed) autocracies.
* Most non-independent states are closed autocracies, but there are some electoral autocracies (and even electoral and liberal democracies: Australia 1858-1899, Iceland 1920-1943, Slovenia 1991). Non-independent states therefore better not be imputed as (closed) autocracies.
tab v2x_regime_owid if v2x_liberal == .
list v2x_regime_owid v2x_liberal_dich_row v2x_liberal v2xlg_legcon v2lgqstexp v2lgotovst v2lginvstp v2lgoppart if country_name == "Australia" & year >= 1895 & year <= 1905
replace v2x_regime_owid = 3 if country_name == "Australia" & year == 1900
* Note: the only case for which a missing value of v2x_liberal matters is Australia in 1900. I manually recode it above because the values in the surrounding year strongly suggest a coding as a liberal democracy.
* The only case for which a missing value of v2x_liberal matters is Australia in 1900. I manually recode it above because the values in the surrounding year strongly suggest a coding as a liberal democracy.
list if country_name == "Sweden" & year == 1840
replace v2x_regime_owid = 0 if country_name == "Sweden" & year == 1840
* Note: Data (including for v2x_polyarchy) missing without clear reason, history of Sweden does not indicate consequential event; perhaps due to missing data on head of government, who is not listed even though he existed (likely Arvid Mauritz Posse). I manually recode it with the regime type in adjacent years.
* Data (including for v2x_polyarchy) missing without clear reason, history of Sweden does not indicate consequential event; perhaps due to missing data on head of government, who is not listed even though he existed (likely Arvid Mauritz Posse). I manually recode it with the regime type in adjacent years.
* Possible imputations:
** Possible imputations:
list year v2x_regime_owid v2x_polyarchy v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp if country_name == "Peru" & year >= 1880 & year <= 1900
* Note: I favor no imputation because of six years of missing data, and even though one criterion for electoral autocracy is not met, the country may have met the criteria for democracy (if unlikely), thereby overriding the former.
* I favor no imputation because of six years of missing data, and even though one criterion for electoral autocracy is not met, the country may have met the criteria for democracy (if unlikely), thereby overriding the former.
list year v2x_regime_owid v2x_polyarchy v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp if country_name == "Honduras" & year >= 1910 & year <= 1950
* Note: I favor no imputation because of 12 years of missing data, and the country may have met the criteria for democracy.
* I favor no imputation because of 12 years of missing data, and the country may have met the criteria for democracy.
keep country_name year v2x_regime_owid
** Impute values for countries or territories and years for which Regimes of the World covers the relevant political entity:
* General notes: I impute for countries or territories without regime data which did not at any point have more than 1 million inhabitants; Wimmer and Min (2006) code status at the end of the year, CShapes 2.0 codes borders at the beginning of the year.
** Identify the relevant political entity for imputation:
* I identified the following countries and years as candidates for imputation because OWID population data is available, but I was unable to code a regime type.
* I only check candidates with a population of at one point more than 1 million
* Wimmer and Min (2006) code the status of a country at the end of the year, CShapes 2.0 codes its borders at the beginning of the year.
generate country_name_regime_imputed = ""
@@ -314,7 +378,7 @@ replace country_name_regime_imputed = "Piedmont-Sardinia" if country_name == "It
* Uzbekistan 1789-1911, 1921-1989: imperial power Russia 1865-1990 (Wimmer and Min 2006), part of Russia 1886-1991 (Khiva and Bokhara partially as protectorates), not colonized (Ertan et al. 2016), Khiva and Bokhara as independent until -1872 and -1867.
replace country_name_regime_imputed = "Russia" if country_name == "Uzbekistan" & year >= 1865 & year <= 1911
replace country_name_regime_imputed = "Russia" if country_name == "Uzbekistan" & year >= 1921 & year <= 1989
* Kazakhstan 1789-1989: imperial power Russia 1730-1990 (Wimmer and Min 2006), part of Russia 1886-1991; not colonized (Ertan et al. 2016).
* Kazakhstan 1789-1989: imperial power Russia 1730-1990 (Wimmer and Min 2006), part of Russia 1886-1991 (Cshapes 2.0); not colonized (Ertan et al. 2016).
replace country_name_regime_imputed = "Russia" if country_name == "Kazakhstan" & year >= 1789 & year <= 1989
* Mozambique 1789-1899, 1974-1993: imperial power Portugal 1885-1974 (Wimmer and Min 2006); colony of Portugal 1886-1975 (Cshapes 2.0), colonized by Portugal, approximated as 1750 (Ertan et al. 2016); I favor no imputation.
* Czechia 1789-1917: imperial power Austria-Hungary 16th century-1917 (Wimmer and Min 2006), part of Austria-Hungary since at least 1886 (Cshapes 2.0), Czech part under Austrian control (Encyclopedia Britannica).
@@ -325,8 +389,11 @@ replace country_name_regime_imputed = "Russia" if country_name == "Belarus" & ye
* Democratic Republic of Congo 1789-1899: imperial power Belgium 1885-1959 (Wimmer and Min 2006), colonized in 1885 (Ertan et al. 2016); I favor no imputation.
* North Korea 1789-1944: Korea since the 14th century until 1909, imperial power Japan 1910-1944 (Wimmer and Min 2006), independent Korea since at least 1886-1910, colony of Japan -1945 (Cshapes 2.0), not listed (Ertan et al. 2016).
replace country_name_regime_imputed = "South Korea" if country_name == "North Korea" & year >= 1789 & year <= 1910
* Sudan 1789-1899: Egypt imperial power 1821-1881, mixed rule 1882-1955 (Wimmer and Min 2006), colony of United Kingdom 1898-1955 (CShapes 2.0), colonized by United Kingdom in 1898 (Ertan et al. 2016), independent 1885-1898 (Butcher and Griffiths 2020); in 1886, colony Egypt of United Kingdom covers little of today's Sudan (CShapes 2.0); Egypt invades Sudanese territory in 1820, indigenous forces surrender in 1821, Mahdists capture Khartoum from Egypt and the British in 1885 (Encyclopedia Britannica).
replace country_name_regime_imputed = "Egypt" if country_name == "Sudan" & year >= 1821 & year <= 1884
* South Sudan 1789-2010: not listed, but Egypt imperial power of Sudan 1821-1881, mixed rule 1882-1955 (Wimmer and Min 2006), colony of United Kingdom 1898-1955, part of Sudan until 2012 (Cshapes 2.0), colonized by United Kingdom in 1898 (Ertan et al. 2016), independent 1885-1898 (Butcher and Griffiths 2020).
replace country_name_regime_imputed = "Sudan" if country_name == "South Sudan" & year >= 1900 & year <= 2010 // Data for Sudan only available since 1900.
replace country_name_regime_imputed = "Egypt" if country_name == "South Sudan" & year >= 1821 & year <= 1884 // See immediately above.
replace country_name_regime_imputed = "Sudan" if country_name == "South Sudan" & year >= 1900 & year <= 2010
* Ireland 1789-1918: imperial power United Kingdom 11th century-1919 (Wimmer and Min 2006), part of United Kingdom since at least 1886-1922, independent since 1922 (Butcher and Griffiths 2020).
replace country_name_regime_imputed = "United Kingdom" if country_name == "Ireland" & year >= 1789 & year <= 1918
* Azerbaijan 1789-1989: imperial power Russia 1813-1917, 1920-1990 (Wimmer and Min 2006), part of Russia since at least 1886-1991 (Cshapes 2.0) not colonized (Ertan et al. 2016).
@@ -347,12 +414,10 @@ replace country_name_regime_imputed = "Czechia" if country_name == "Slovakia" &
* Tajikistan 1789-1989: imperial power Russia 1921-1990 (Wimmer and Min 2006), part of Russia, part of Russia's protectorate Bokhara 1886-1920, part of Russia 1920-1990 (Cshapes 2.0), independent since 1991, Bokhara independent 1816-1868 (Butcher and Griffiths 2020).
replace country_name_regime_imputed = "Russia" if country_name == "Tajikistan" & year >= 1868 & year <= 1989
* Palestine 1949-2019: no information (Wimmer and Min 2006, Ertan et al. 2016, Butcher and Griffiths 2020). V-Dem includes Gaza and West Bank separately; I therefore favor no imputation.
* Sudan 1789-1899: Egypt imperial power 1821-1881, mixed rule 1882-1955 (Wimmer and Min 2006), colony of United Kingdom 1898-1955 (CShapes 2.0), colonized by United Kingdom in 1898 (Ertan et al. 2016), independent 1885-1898 (Butcher and Griffiths 2020); in 1886, colony Egypt of United Kingdom covers little of today's Sudan (CShapes 2.0); Egypt invades Sudanese territory in 1820, indigenous forces surrender in 1821, Mahdists capture Khartoum from Egypt and the British in 1885 (Encyclopedia Britannica).
replace country_name_regime_imputed = "Egypt" if country_name == "Sudan" & year >= 1821 & year <= 1884
* Brazil 1824-1825: independent since 1822 (Wimmer and Min 2006, Butcher and Griffiths 2020); I favor no imputation.
* Serbia 1789-1833, 1932-1934: imperial power Turkey 14th century - 1877 (Wimmer and Min 2006); part of the Ottoman Empire (Encyclopedia Britannica); no imperial power 1932-1934 (Wimmer and Min 2006), independent 1932-1934 (Cshapes 2.0); I favor no imputation for later period.
replace country_name_regime_imputed = "Turkey" if country_name == "Serbia" & year >= 1789 & year <= 1833
* Croatia 1789-1940, 1945-1990: Austria-Hungary imperial power 1699-1917, mixed rule 1918, Yugoslavia 1919-1990 (Wimmer and Min 2006); Austria-Hungary 1886-1918, 1919 partially Hungary and Yugoslavia, 1920-1992 Yugoslavia; I favor no imputation.
* Croatia 1789-1940, 1945-1990: Austria-Hungary imperial power 1699-1917, mixed rule 1918, Yugoslavia 1919-1990 (Wimmer and Min 2006); Austria-Hungary 1886-1918, 1919 partially Hungary and Yugoslavia, 1920-1992 Yugoslavia; I favor no imputation for earlier era.
replace country_name_regime_imputed = "Serbia" if country_name == "Croatia" & year >= 1945 & year <= 1990
* Algeria 1789-1899: imperial power France 1848-1961 (Wimmer and Min 2006), colonized by France since at least 1886-1962 (Cshapes 2.0); I favor no imputation.
* Bosnia and Herzegovina 1789-1991: imperial power Turkey 15th century-1878, Austria-Hungary 1879-1917, Yugoslavia 1918-1990 (Wimmer and Min 2006); occupied by Austria-Hungary since at least 1886-1908, part of Austria-Hungary 1909-1918, part of Yugoslavia 1919-1992 (Cshapes 2.0); Austrian-Hungary occupation while formally still part of Ottoman Empire, not more associated with either Austria or Hungary (Encyclopedia Britannica); I therefore favor no imputation for 1909-1918.
@@ -388,7 +453,7 @@ replace country_name_regime_imputed = "Turkey" if country_name == "Bulgaria" & y
* Lithuania 1789-1917: part of Russia 1886-1918 and 1941-1991 (CShapes 2.0), imperial power Russia 1795-1918 (Wimmer and Min 2006).
replace country_name_regime_imputed = "Russia" if country_name == "Lithuania" & year >= 1795 & year <= 1917
* Cambodia 1789-1899: colonized by France 1886-1953 (CShapes 2.0), imperial power France 1857-1952 (Wimmer and Min 2006), colonized in 1863 (Ertan et al. 2016); I favor no imputation.
* Taiwan 1789-1899: part of China 1886-1895, colony by Japan afterwards (CShapes 2.0), imperial power 17th century - 1947 (Wimmer and Min 2006), colonized by Japan 1895-1945 (Ertan et al. 2016).
* Taiwan 1789-1899: part of China 1886-1895, colony of Japan afterwards (CShapes 2.0), imperial power China 17th century - 1947 (Wimmer and Min 2006), colonized by Japan 1895-1945 (Ertan et al. 2016).
replace country_name_regime_imputed = "China" if country_name == "Taiwan" & year >= 1789 & year <= 1894
* Ghana 1789-1901: colonized by United Kingdom 1886-1957 (CShapes 2.0), imperial power Portugal 15th century - 1823, United Kingdom 1874-1956 (Wimmer and Min 2006); I favor no imputation.
* Latvia 1789-1919, 1940-1989: part of Russia 1886-1918 and 1941-1991 (CShapes 2.0), imperial power Russia 1710-1918 and 1940-1990 (Wimmer and Min 2006); I include 1919.
@@ -442,56 +507,274 @@ replace country_name_regime_imputed = "Turkey" if country_name == "Israel" & yea
* Papua New Guinea 1789-1899: colonized by United Kingdom 1886-1920 and Germany 1886-1914, Australia 1915-1975 (CShapes 2.0), imperial power United Kingdom 1883-1904, Australia 1905-1974 (Wimmer and Min 2006), colonized by United Kingdom and Germany in 1884 (Ertan et al. 2016); I favor no imputation.
* Central African Republic 1789-1919: colonized by France 1900-1961 (CShapes 2.0), imperial power France 1890-1959 (Wimmer and Min 2006), colonized by France in 1887/1903 (Ertan et al. 2016); I favor no imputation.
** Identify which observations in the dataset do not have any V-Dem information:
* I do not want to impute data for observations where V-Dem coders provide (partial) information, even if the sources above suggest that the country was part of another entity. This is because partial information suggests the remaining missings are not because the country was considered to be part of another country, but for other reasons.
egen nonmissing_values = rownonmiss(country_name year v2x_regime_owid v2elfrfair_osp_imp v2elmulpar_osp_imp v2elmulpar_osp_hoe_imp v2elmulpar_osp_leg_imp v2x_liberal_dich_row v2xlg_legcon v2lgqstexp v2lgotovst v2lginvstp v2lgoppart v2svindep ///
v2x_polyarchy v2x_elecoff v2xel_frefair v2x_frassoc_thick v2x_suffr v2x_freexp_altinf v2x_polyarchy_codelow v2xel_frefair_codelow v2x_frassoc_thick_codelow v2x_freexp_altinf_codelow v2x_polyarchy_codehigh v2xel_frefair_codehigh v2x_frassoc_thick_codehigh v2x_freexp_altinf_codehigh ///
v2x_libdem v2x_liberal v2xcl_rol v2x_jucon v2xlg_legcon v2x_libdem_codelow v2x_liberal_codelow v2xcl_rol_codelow v2x_jucon_codelow v2xlg_legcon_codelow v2x_libdem_codehigh v2x_liberal_codehigh v2xcl_rol_codehigh v2x_jucon_codehigh v2xlg_legcon_codehigh ///
v2x_partipdem v2x_partip v2x_cspart v2xdd_dd v2xel_locelec v2xel_regelec v2x_partipdem_codelow v2x_partip_codelow v2x_cspart_codelow v2xel_locelec_codelow v2xel_regelec_codelow v2x_partipdem_codehigh v2x_partip_codehigh v2x_cspart_codehigh v2xel_locelec_codehigh v2xel_regelec_codehigh ///
v2x_delibdem v2xdl_delib v2dlreason v2dlcommon v2dlcountr v2dlconslt v2dlengage v2x_delibdem_codelow v2xdl_delib_codelow v2dlreason_codelow v2dlcommon_codelow v2dlcountr_codelow v2dlconslt_codelow v2dlengage_codelow v2x_delibdem_codehigh v2xdl_delib_codehigh v2dlreason_codehigh v2dlcommon_codehigh v2dlcountr_codehigh v2dlconslt_codehigh v2dlengage_codehigh ///
v2x_egaldem v2x_egal v2xeg_eqprotec v2xeg_eqaccess v2xeg_eqdr v2x_egaldem_codelow v2x_egal_codelow v2xeg_eqprotec_codelow v2xeg_eqaccess_codelow v2xeg_eqdr_codelow v2x_egaldem_codehigh v2x_egal_codehigh v2xeg_eqprotec_codehigh v2xeg_eqaccess_codehigh v2xeg_eqdr_codehigh), strok
** Merge with V-Dem dataset again, this time on imputing countries:
generate empty_observation = 1 if nonmissing_values == 2 // The two non-missing values are country and year.
** Rename variables to prepare for merging:
rename country_name country_name_temp
rename country_name_regime_imputed country_name
rename v2x_regime_owid v2x_regime_owid_temp
rename v2x_regime_owid regime_row_owid
rename v2x_polyarchy electdem_vdem_owid
rename v2x_polyarchy_codelow electdem_vdem_owid_low
rename v2x_polyarchy_codehigh electdem_vdem_owid_high
rename v2x_elecoff electoff_vdem_owid
rename v2xel_frefair electfreefair_vdem_owid
rename v2xel_frefair_codelow electfreefair_vdem_owid_low
rename v2xel_frefair_codehigh electfreefair_vdem_owid_high
rename v2x_frassoc_thick freeassoc_vdem_owid
rename v2x_frassoc_thick_codelow freeassoc_vdem_owid_low
rename v2x_frassoc_thick_codehigh freeassoc_vdem_owid_high
rename v2x_suffr suffr_vdem_owid
rename v2x_freexp_altinf freeexpr_vdem_owid
rename v2x_freexp_altinf_codelow freeexpr_vdem_owid_low
rename v2x_freexp_altinf_codehigh freeexpr_vdem_owid_high
/* Work in progress:
rename v2x_libdem
rename v2x_libdem_codelow
rename v2x_libdem_codehigh
rename v2x_liberal
rename v2x_liberal_codelow
rename v2x_liberal_codehigh
rename v2xcl_rol
rename v2xcl_rol_codelow
rename v2xcl_rol_codehigh
rename v2x_jucon
rename v2x_jucon_codelow
rename v2x_jucon_codehigh
rename v2xlg_legcon
rename v2xlg_legcon_codelow
rename v2xlg_legcon_codehigh
rename v2x_partipdem
rename v2x_partipdem_codelow
rename v2x_partipdem_codehigh
rename v2x_partip
rename v2x_partip_codelow
rename v2x_partip_codehigh
rename v2x_cspart
rename v2x_cspart_codelow
rename v2x_cspart_codehigh
rename v2xdd_dd
rename v2xel_locelec
rename v2xel_locelec_codelow
rename v2xel_locelec_codehigh
rename v2xel_regelec
rename v2xel_regelec_codelow
rename v2xel_regelec_codehigh
rename v2x_delibdem
rename v2x_delibdem_codelow
rename v2x_delibdem_codehigh
rename v2xdl_delib
rename v2xdl_delib_codelow
rename v2xdl_delib_codehigh
rename v2dlreason
rename v2dlreason_codelow
rename v2dlreason_codehigh
rename v2dlcommon
rename v2dlcommon_codelow
rename v2dlcommon_codehigh
rename v2dlcountr
rename v2dlcountr_codelow
rename v2dlcountr_codehigh
rename v2dlconslt
rename v2dlconslt_codelow
rename v2dlconslt_codehigh
rename v2dlengage
rename v2dlengage_codelow
rename v2dlengage_codehigh
rename v2x_egaldem
rename v2x_egaldem_codelow
rename v2x_egaldem_codehigh
rename v2x_egal
rename v2x_egal_codelow
rename v2x_egal_codehigh
rename v2xeg_eqprotec
rename v2xeg_eqprotec_codelow
rename v2xeg_eqprotec_codehigh
rename v2xeg_eqaccess
rename v2xeg_eqaccess_codelow
rename v2xeg_eqaccess_codehigh
rename v2xeg_eqdr
rename v2xeg_eqdr_codelow
rename v2xeg_eqdr_codehigh
*/
** Merge with V-Dem dataset again, this time on imputing countries:
* I do not merge with the 'merge, update', as in that case some observations will have different non-missing values between the non-imputed and the imputed variables (due to partial V-Dem coverage). I therefore have to use a more manual approach.
sort country_name year
merge m:1 country_name year using "Political regimes/vdem_temp.dta"
drop if _merge == 2
drop _merge
erase "Political regimes/vdem_temp.dta"
rename country_name regime_row_imputed_country_name
rename country_name regime_imputed_country_name
rename country_name_temp country_name
rename v2x_regime_owid v2x_regime_owid_imputed
rename v2x_regime_owid_temp v2x_regime_owid
** Create variable identifying whether regime data was imputed:
generate regime_imputed = ""
replace regime_imputed = "yes" if regime_imputed_country_name != "" & empty_observation == 1
replace regime_imputed = "no" if regime_imputed_country_name == "" | empty_observation != 1
order regime_imputed, before(regime_imputed_country_name)
label variable regime_imputed_country_name "Name of the country from which regime information was imputed"
label variable regime_imputed "Regime information imputed from another country"
** Add imputed values for variables:
replace regime_row_owid = v2x_regime_owid if regime_imputed == "yes"
replace electdem_vdem_owid = v2x_polyarchy if regime_imputed == "yes"
replace electoff_vdem_owid = v2x_elecoff if regime_imputed == "yes"
replace electfreefair_vdem_owid = v2xel_frefair if regime_imputed == "yes"
replace freeassoc_vdem_owid = v2x_frassoc_thick if regime_imputed == "yes"
replace suffr_vdem_owid = v2x_suffr if regime_imputed == "yes"
replace freeexpr_vdem_owid = v2x_freexp_altinf if regime_imputed == "yes"
replace electdem_vdem_owid_low = v2x_polyarchy_codelow if regime_imputed == "yes"
replace electfreefair_vdem_owid_low = v2xel_frefair_codelow if regime_imputed == "yes"
replace freeassoc_vdem_owid_low = v2x_frassoc_thick_codelow if regime_imputed == "yes"
replace freeexpr_vdem_owid_low = v2x_freexp_altinf_codelow if regime_imputed == "yes"
replace electdem_vdem_owid_high = v2x_polyarchy_codehigh if regime_imputed == "yes"
replace electfreefair_vdem_owid_high = v2xel_frefair_codehigh if regime_imputed == "yes"
replace freeassoc_vdem_owid_high = v2x_frassoc_thick_codehigh if regime_imputed == "yes"
replace freeexpr_vdem_owid_high = v2x_freexp_altinf_codehigh if regime_imputed == "yes"
sort country_name year
keep country_name year v2x_regime_owid regime_row_imputed_country_name v2x_regime_owid_imputed
order country_name year v2x_regime_owid regime_row_imputed_country_name v2x_regime_owid_imputed
keep country_name year regime_row_owid electdem_vdem_owid electdem_vdem_owid_low electdem_vdem_owid_high electfreefair_vdem_owid electfreefair_vdem_owid_low electfreefair_vdem_owid_high suffr_vdem_owid electoff_vdem_owid freeexpr_vdem_owid freeexpr_vdem_owid_low freeexpr_vdem_owid_high freeassoc_vdem_owid freeassoc_vdem_owid_low freeassoc_vdem_owid_high regime_imputed regime_imputed_country_name
order country_name year regime_row_owid electdem_vdem_owid electdem_vdem_owid_low electdem_vdem_owid_high electfreefair_vdem_owid electfreefair_vdem_owid_low electfreefair_vdem_owid_high suffr_vdem_owid electoff_vdem_owid freeexpr_vdem_owid freeexpr_vdem_owid_low freeexpr_vdem_owid_high freeassoc_vdem_owid freeassoc_vdem_owid_low freeassoc_vdem_owid_high regime_imputed regime_imputed_country_name
* Check if there are any observations with imputed regimes even though there is no need for imputation:
list if v2x_regime_owid != . & v2x_regime_owid_imputed != .
** Format variables:
* Check if there are any observations with imputed country but without imputed regime:
list if v2x_regime_owid_imputed == . & regime_row_imputed_country_name != ""
replace regime_row_imputed_country_name = "" if v2x_regime_owid_imputed == .
label variable electdem_vdem_owid "Electoral democracy (V-Dem, OWID)"
label variable electdem_vdem_owid_low "Electoral democracy (lower bound, V-Dem, OWID)"
label variable electdem_vdem_owid_high "Electoral democracy (upper bound, V-Dem, OWID)"
* Reformat variables:
replace v2x_regime_owid = v2x_regime_owid_imputed if v2x_regime_owid == .
drop v2x_regime_owid_imputed
label variable electfreefair_vdem_owid "Free and fair elections (V-Dem, OWID)"
label variable electfreefair_vdem_owid_low "Free and fair elections (lower bound, V-Dem, OWID)"
label variable electfreefair_vdem_owid_high "Free and fair elections (upper bound, V-Dem, OWID)"
rename v2x_regime_owid regime_row_owid
label values regime_row_owid
label variable suffr_vdem_owid "Share of the population with suffrage (V-Dem, OWID)"
label variable electoff_vdem_owid "Elected officials (V-Dem, OWID)"
generate regime_row_imputed = ""
replace regime_row_imputed = "yes" if regime_row_imputed_country_name != ""
replace regime_row_imputed = "no" if regime_row_imputed_country_name == ""
order regime_row_imputed, after(regime_row_owid)
label variable freeexpr_vdem_owid "Freedom of expression and alternative sources of information (V-Dem, OWID)"
label variable freeexpr_vdem_owid_low "Freedom of expression and alternative sources of information (lower bound, V-Dem, OWID)"
label variable freeexpr_vdem_owid_high "Freedom of expression and alternative sources of information (upper bound, V-Dem, OWID)"
label variable regime_row_imputed "Regime imputed from another country"
label variable regime_row_imputed_country_name "Name of the country from which regime was imputed"
erase "Political regimes/master.dta"
label variable freeassoc_vdem_owid "Freedom of association (V-Dem, OWID)"
label variable freeassoc_vdem_owid_low "Freedom of association (lower bound, V-Dem, OWID)"
label variable freeassoc_vdem_owid_high "Freedom of association (upper bound, V-Dem, OWID)"
** Export regime information:
* Keep only countries with at least one year of regime information:
*** Create variables for age of electoral democracies and liberal democracies:
** Create numeric country identifier:
encode country_name, generate(country_number)
** Declare dataset to be time-series data:
tsset country_number year
** Create variable for age of electoral democracies:
generate electdem_age_row_owid = .
replace electdem_age_row_owid = 0 if regime_row_owid == 0 | regime_row_owid == 1
replace electdem_age_row_owid = 1 if (l.regime_row_owid == 0 | l.regime_row_owid == 1) & (regime_row_owid == 2 | regime_row_owid == 3)
replace electdem_age_row_owid = 1 if l.regime_row_owid == . & (regime_row_owid == 2 | regime_row_owid == 3) // Assume that when previous information is missing, the country was not an electoral democracy.
replace electdem_age_row_owid = l.electdem_age_row_owid + 1 if electdem_age_row_owid == . & (regime_row_owid == 2 | regime_row_owid == 3)
label variable electdem_age_row_owid "Electoral democracy age (Regimes of the World, OWID)"
** Create variable for age of liberal democracies:
generate libdem_age_row_owid = .
replace libdem_age_row_owid = 0 if regime_row_owid == 0 | regime_row_owid == 1 | regime_row_owid == 2
replace libdem_age_row_owid = 1 if (l.regime_row_owid == 0 | l.regime_row_owid == 1 | l.regime_row_owid == 2) & regime_row_owid == 3
replace libdem_age_row_owid = 1 if l.regime_row_owid == . & regime_row_owid == 3 // Assume that when previous information is missing, the country was not a liberal democracy.
replace libdem_age_row_owid = l.libdem_age_row_owid + 1 if libdem_age_row_owid == . & regime_row_owid == 3
label variable libdem_age_row_owid "Liberal democracy age (Regimes of the World, OWID)"
** Create variable for age group of electoral demcoracies:
generate electdem_age_group_row_owid = .
replace electdem_age_group_row_owid = 0 if electdem_age_row_owid == 0
replace electdem_age_group_row_owid = 1 if electdem_age_row_owid > 0 & electdem_age_row_owid <= 18
replace electdem_age_group_row_owid = 2 if electdem_age_row_owid > 18 & electdem_age_row_owid <= 30
replace electdem_age_group_row_owid = 3 if electdem_age_row_owid > 30 & electdem_age_row_owid <= 60
replace electdem_age_group_row_owid = 4 if electdem_age_row_owid > 60 & electdem_age_row_owid <= 90
replace electdem_age_group_row_owid = 5 if electdem_age_row_owid > 90 & electdem_age_row_owid < .
label variable electdem_age_group_row_owid "Electoral democracy age group (Regimes of the World, OWID)"
label define electdem_age_group_row_owid 0 "not an electoral democracy" 1 "1-18 years" 2 "19-30 years" 3 "31-60 years" 4 "61-90 years" 5 "91+ years"
label values electdem_age_group_row_owid electdem_age_group_row_owid
** Create variable for age group of liberal democracies:
generate libdem_age_group_row_owid = .
replace libdem_age_group_row_owid = 0 if libdem_age_row_owid == 0
replace libdem_age_group_row_owid = 1 if libdem_age_row_owid > 0 & libdem_age_row_owid <= 18
replace libdem_age_group_row_owid = 2 if libdem_age_row_owid > 18 & libdem_age_row_owid <= 30
replace libdem_age_group_row_owid = 3 if libdem_age_row_owid > 30 & libdem_age_row_owid <= 60
replace libdem_age_group_row_owid = 4 if libdem_age_row_owid > 60 & libdem_age_row_owid <= 90
replace libdem_age_group_row_owid = 5 if libdem_age_row_owid > 90 & libdem_age_row_owid < .
label variable libdem_age_group_row_owid "Liberal democracy age group (Regimes of the World, OWID)"
label define libdem_age_group_row_owid 0 "not a liberal democracy" 1 "1-18 years" 2 "19-30 years" 3 "31-60 years" 4 "61-90 years" 5 "91+ years"
label values libdem_age_group_row_owid libdem_age_group_row_owid
** Add labels for ages of electoral and liberal democracies to optimize use in the OWID grapher:
tostring electdem_age_row_owid, replace
replace electdem_age_row_owid = "not an electoral democracy" if electdem_age_row_owid == "0"
replace electdem_age_row_owid = "no data" if electdem_age_row_owid == "."
tostring libdem_age_row_owid, replace
replace libdem_age_row_owid = "not a liberal democracy" if libdem_age_row_owid == "0"
replace libdem_age_row_owid = "no data" if libdem_age_row_owid == "."
drop country_number
*** Create dataset with regime information per country and year:
** Keep only countries with at least one year of regime information:
preserve
@@ -512,27 +795,27 @@ export delimited "Political regimes/regimes_owid.csv", replace
restore
** Export regime population information:
* Add population data:
*** Create dataset with number per year of people living in different regimes:
preserve
** Add population data:
merge 1:1 country_name year using "Our World in Data/population_owid.dta"
* Take a look at unmerged cases:
** Take a look at unmerged cases:
drop if year < 1800 | year > 2020
tab _merge // Note: no unmatched observations in using dataset between 1789 and 2020.
tab _merge // no unmatched observations in using dataset between 1789 and 2020.
drop _merge
* Recode Regimes of the World indicator such that it includes a category for when population data is available, but regime data is missing:
** Recode Regimes of the World indicator such that it includes a category for when population data is available, but regime data is missing:
replace regime_row_owid = 4 if regime_row_owid == . & population_owid != .
label values regime_row_owid v2x_regime_owid_label
label define v2x_regime_owid_label 4 "no regime data", add
drop if population_owid == .
tab regime_row_owid, m
* Create number of people living in different regimes:
preserve
** Reduce the infromation to regime per year:
collapse (sum) population_owid, by(year regime_row_owid)
reshape wide population_owid, i(year) j(regime_row_owid)
@@ -561,4 +844,53 @@ export delimited "Political regimes/regimes_population_owid.csv", replace
restore
*** Create dataset with number per year of electoral and liberal democracies in different age groups:
preserve
tabulate electdem_age_group_row_owid, generate(electdem_age_group)
tabulate libdem_age_group_row_owid, generate(libdem_age_group)
collapse (sum) electdem_age_group* libdem_age_group*, by(year)
drop electdem_age_group_row_owid libdem_age_group_row_owid
generate entity_name = "World"
order entity_name, before(year)
rename electdem_age_group1 number_electdem_0
rename electdem_age_group2 number_electdem_18
rename electdem_age_group3 number_electdem_30
rename electdem_age_group4 number_electdem_60
rename electdem_age_group5 number_electdem_90
rename electdem_age_group6 number_electdem_91plus
rename libdem_age_group1 number_libdem_0
rename libdem_age_group2 number_libdem_18
rename libdem_age_group3 number_libdem_30
rename libdem_age_group4 number_libdem_60
rename libdem_age_group5 number_libdem_90
rename libdem_age_group6 number_libdem_91plus
label variable number_electdem_0 "Number of countries which are not electoral democracies"
label variable number_electdem_18 "Number of electoral democracies aged 1-18 years"
label variable number_electdem_30 "Number of electoral democracies aged 19-30 years"
label variable number_electdem_60 "Number of electoral democracies aged 31-60 years"
label variable number_electdem_90 "Number of electoral democracies aged 61-90 years"
label variable number_electdem_91plus "Number of electoral democracies aged 91 years or older"
label variable number_libdem_0 "Number of countries which are not liberal democracies"
label variable number_libdem_18 "Number of liberal democracies aged 1-18 years"
label variable number_libdem_30 "Number of liberal democracies aged 19-30 years"
label variable number_libdem_60 "Number of liberal democracies aged 31-60 years"
label variable number_libdem_90 "Number of liberal democracies aged 61-90 years"
label variable number_libdem_91plus "Number of liberal democracies aged 91 years or older"
save "Political regimes/regimes_number_owid.dta", replace
export delimited "Political regimes/regimes_number_owid.csv", replace
restore
exit

View File

@@ -3,114 +3,114 @@ World,1800,805811988,22000000,0,0,156929163
World,1801,809728760,22309844,0,0,155589718
World,1802,812600666,22624318,0,0,155873754
World,1803,815500140,22943493,0,0,156166627
World,1804,818897125,23267444,0,0,155998671
World,1805,821852584,23596247,0,0,156309213
World,1806,824836486,23929977,0,0,156628604
World,1807,828738650,24268712,0,0,156067380
World,1808,831778975,24612534,0,0,156406004
World,1809,844464636,24961521,0,0,147137709
World,1810,850158239,25735756,0,0,146736202
World,1811,854698275,26528763,0,0,146260431
World,1812,859487315,27491242,0,0,146652579
World,1813,865618085,28634039,0,0,146191565
World,1814,870973493,29833433,0,0,146620366
World,1815,896309985,31092484,0,0,127183637
World,1816,901937287,32414425,0,0,127572801
World,1817,909326560,33802669,0,0,126317841
World,1818,915179892,35260822,0,0,126717838
World,1819,920188566,36581099,0,0,127988210
World,1820,925159712,37752758,0,0,130034952
World,1821,935074203,40020835,0,0,124236539
World,1822,940533946,40894941,0,0,124824896
World,1823,932899974,55376475,0,0,125238343
World,1824,946247840,43646032,0,0,130982297
World,1825,953151985,44379591,0,0,130811384
World,1826,963935697,45128383,0,0,126897108
World,1827,969914955,45892783,0,0,127877108
World,1828,975968585,46673172,0,0,128873665
World,1829,981555262,47455046,0,0,129888076
World,1830,988855635,47535918,0,0,130228306
World,1831,994363726,54386141,0,0,123516859
World,1832,994646111,59072867,0,0,124497320
World,1833,999876024,58305255,0,0,125493716
World,1834,1003476373,59211186,0,0,126507306
World,1835,1005872686,61365871,0,0,127538464
World,1836,994853239,76981832,0,0,128587515
World,1837,996553763,79924136,0,0,129654822
World,1838,1002009260,79801814,0,0,130097543
World,1839,1019838805,81114056,0,0,116659938
World,1840,1043510184,62010356,0,0,118598152
World,1841,1050333572,61438797,0,0,117049120
World,1842,1046709792,69533004,0,0,118090957
World,1843,1050498833,70135176,0,0,119152228
World,1844,1054329245,70891449,0,0,120099223
World,1845,1058037377,71704405,0,0,121194646
World,1846,1069354592,64974119,0,0,122308752
World,1847,1065897177,72733546,0,0,123793997
World,1848,1027966143,115739366,0,0,124594496
World,1849,1031540679,112982153,0,2361968,126510134
World,1850,1033822791,113981619,0,2376868,128516892
World,1851,1069983782,80145209,0,2390857,128524263
World,1852,1071442509,81191228,0,2404184,128567202
World,1853,1071540074,82153427,0,2416841,129295015
World,1854,1071298253,83457566,0,2429565,130132479
World,1855,1071279813,84639361,0,2442355,130982557
World,1856,1069653538,87531315,0,2455213,131845489
World,1857,1069688320,88865876,0,2468139,132721561
World,1858,1079779972,79110316,0,3619471,133611051
World,1859,1079771323,80848059,0,3711534,134543868
World,1860,1079356041,83326384,0,3796042,136676796
World,1861,1084731222,80345262,0,3871952,136542335
World,1862,1084807462,82992279,0,3938125,137609158
World,1863,1084882410,85958515,0,3993315,138722047
World,1864,1087442158,86506509,0,4049793,139852107
World,1865,1058796944,121202796,0,4107592,138115996
World,1866,1066310890,116940556,0,4166751,139255875
World,1867,1067049964,119519433,0,4227308,140413897
World,1868,1034629010,139705938,0,4289302,157207652
World,1869,1031839693,146295205,0,4350511,158554593
World,1870,993919630,188647022,0,4410839,161176781
World,1871,1000072516,187487232,0,4470190,161156009
World,1872,999843561,193413534,0,4528458,162405596
World,1873,1007853458,191720349,0,4585535,163619112
World,1874,1026308790,141230756,38412539,4643570,164845520
World,1875,1028447303,145511215,38461370,4702578,166084979
World,1876,1033046531,148282556,38510260,4762580,166455575
World,1877,1040985694,146879893,38559209,4823595,167714005
World,1878,1042236264,152222550,38608217,4885643,168986332
World,1879,1048806242,151432751,38664188,4953116,171600210
World,1880,1049468161,158424465,38727144,5026354,174352529
World,1881,1055022044,161104421,38797107,5105711,174224661
World,1882,1056763630,168181928,38874098,5191558,175548108
World,1883,1066911270,167431938,38958140,5284280,176878932
World,1884,1071073910,172787696,39042361,5379915,178223612
World,1885,1080906517,167803417,39126760,5478561,184429108
World,1886,1079406023,176556259,39211339,5580325,188341947
World,1887,1092781575,172462197,39912699,5685314,189767985
World,1888,1099775859,175468127,40012950,5793641,191209234
World,1889,1107004519,178104698,40105103,5899570,192569309
World,1890,1115372588,179481878,40189112,6002745,195415664
World,1891,1121834739,182605015,40264930,6102789,195045315
World,1892,1127276855,190024789,40332510,6199307,192728990
World,1893,1136549509,188853051,40391803,6291885,194939987
World,1894,1125555306,209256887,40451408,6385931,195983937
World,1895,1131253229,204089780,40511329,12875979,199667326
World,1896,1154400623,190471733,40571572,13035423,200776332
World,1897,1158824403,195710615,40632141,13197018,201901061
World,1898,1145714244,218595820,40693044,13360793,203041777
World,1899,1155926469,225338299,40756003,6877634,204321447
World,1900,1254900261,222361408,40821076,13695858,115626419
World,1901,1261433395,228208911,40888319,13867172,114387846
World,1902,1271900943,230208212,40957793,16666822,112830612
World,1903,1281568993,234258744,41029557,16874470,113281041
World,1904,1292395536,238105137,41183513,17084758,112878460
World,1905,1300153365,242879329,41257547,17297719,114885091
World,1906,1313951227,240692830,43653601,17513386,115683740
World,1907,1324304157,243766978,43744565,17731796,117189358
World,1908,1335961473,245702401,43836343,17952984,118747006
World,1909,1343664216,251326994,43871463,18159102,120045973
World,1910,1347237559,261157693,43850166,18350046,122728128
World,1911,1346244161,272170075,43772694,18525713,124208041
World,1804,816749928,23267444,0,0,158145868
World,1805,819705387,23596247,0,0,158456410
World,1806,822689289,23929977,0,0,158775801
World,1807,826591453,24268712,0,0,158214577
World,1808,829631778,24612534,0,0,158553201
World,1809,841368549,24961521,0,0,150233796
World,1810,847043637,25735756,0,0,149850804
World,1811,851565151,26528763,0,0,149393555
World,1812,856335315,27491242,0,0,149804579
World,1813,862446848,28634039,0,0,149362802
World,1814,869929847,29833433,0,0,147664012
World,1815,893099160,31092484,0,0,130394462
World,1816,898706099,32414425,0,0,130803989
World,1817,906074618,33802669,0,0,129569783
World,1818,911906799,35260822,0,0,129990931
World,1819,916895626,36581099,0,0,131281150
World,1820,921848247,37752758,0,0,133346417
World,1821,932812466,40020835,0,0,126498276
World,1822,938259740,40894941,0,0,127099102
World,1823,930614854,55376475,0,0,127523463
World,1824,943951677,43646032,0,0,133278460
World,1825,950844647,44379591,0,0,133118722
World,1826,961617048,45128383,0,0,129215757
World,1827,967584855,45892783,0,0,130207208
World,1828,973626891,46673172,0,0,131215359
World,1829,979204567,47455046,0,0,132238771
World,1830,986498584,47535918,0,0,132585357
World,1831,992003018,54386141,0,0,125877567
World,1832,992284346,59072867,0,0,126859085
World,1833,997515856,58305255,0,0,127853884
World,1834,1003205077,59211186,0,0,126778602
World,1835,1005598716,61365871,0,0,127812434
World,1836,994576576,76981832,0,0,128864178
World,1837,996274385,79924136,0,0,129934200
World,1838,1001727147,79801814,0,0,130379656
World,1839,1019551986,81114056,0,0,116946757
World,1840,1043216653,62010356,0,0,118891683
World,1841,1050031288,61438797,0,0,117351404
World,1842,1046396677,69533004,0,0,118404072
World,1843,1050172773,70135176,0,0,119478288
World,1844,1053990041,70891449,0,0,120438427
World,1845,1057684826,71704405,0,0,121547197
World,1846,1068988490,64974119,0,0,122674854
World,1847,1065517317,72733546,0,0,124173857
World,1848,1027572315,115739366,0,0,124988324
World,1849,1031134530,112982153,0,2361968,126916283
World,1850,1033406003,113981619,0,2376868,128933680
World,1851,1069563759,80145209,0,2390857,128944286
World,1852,1071021050,81191228,0,2404184,128988661
World,1853,1071119009,82153427,0,2416841,129716080
World,1854,1070877588,83457566,0,2429565,130553144
World,1855,1070859552,84639361,0,2442355,131402818
World,1856,1069233685,87531315,0,2455213,132265342
World,1857,1069268881,88865876,0,2468139,133141000
World,1858,1079360952,79110316,0,3619471,134030071
World,1859,1079354686,80848059,0,3711534,134960505
World,1860,1078943769,83326384,0,3796042,137089068
World,1861,1084325309,80345262,0,3871952,136948248
World,1862,1084409918,82992279,0,3938125,138006702
World,1863,1086237579,85958515,0,3993315,137366878
World,1864,1088809360,86506509,0,4049793,138484905
World,1865,1057292539,121202796,0,4107592,139620401
World,1866,1064792985,116940556,0,4166751,140773780
World,1867,1065518412,119519433,0,4227308,141945449
World,1868,1033083661,139705938,0,4289302,158753001
World,1869,1030280398,146295205,0,4350511,160113888
World,1870,992346235,188647022,0,4410839,162750176
World,1871,998484486,187487232,0,4470190,162744039
World,1872,998241119,193413534,0,4528458,164008038
World,1873,1006236448,191720349,0,4585535,165236122
World,1874,1024677052,141230756,38412539,4643570,166477258
World,1875,1026800678,145511215,38461370,4702578,167731604
World,1876,1031384855,148282556,38510260,4762580,168117251
World,1877,1039308805,146879893,38559209,4823595,169390894
World,1878,1040543997,152222550,38608217,4885643,170678599
World,1879,1047098429,151432751,38664188,4953116,173308023
World,1880,1047744634,158424465,38727144,5026354,176076056
World,1881,1053282631,161104421,38797107,5105711,175964074
World,1882,1055008159,168181928,38874098,5191558,177303579
World,1883,1065139567,167431938,38958140,5284280,178650635
World,1884,1069285799,172787696,39042361,5379915,180011723
World,1885,1077463043,167803417,39126760,5478561,187872582
World,1886,1075931872,176556259,39211339,5580325,191816098
World,1887,1089276474,172462197,39912699,5685314,193273086
World,1888,1096239532,175468127,40012950,5793641,194745561
World,1889,1103436689,178104698,40105103,5899570,196137139
World,1890,1111772974,179481878,40189112,6002745,199015278
World,1891,1118203059,182605015,40264930,6102789,198676995
World,1892,1123612823,190024789,40332510,6199307,196393022
World,1893,1132852837,188853051,40391803,6291885,198636659
World,1894,1121825704,209256887,40451408,6385931,199713539
World,1895,1127490403,204089780,40511329,12875979,203430152
World,1896,1150604278,190471733,40571572,13035423,204572677
World,1897,1154994240,195710615,40632141,13197018,205731224
World,1898,1141849963,218595820,40693044,13360793,206906058
World,1899,1152027766,225338299,40756003,6877634,208220150
World,1900,1250966829,222361408,40821076,13695858,119559851
World,1901,1257464926,228208911,40888319,13867172,118356315
World,1902,1267897124,230208212,40957793,16666822,116834431
World,1903,1277529511,234258744,41029557,16874470,117320523
World,1904,1288320072,238105137,41183513,17084758,116953924
World,1905,1296041600,242879329,41257547,17297719,118996856
World,1906,1309802837,240692830,43653601,17513386,119832130
World,1907,1320118817,243766978,43744565,17731796,121374698
World,1908,1331738853,245702401,43836343,17952984,122969626
World,1909,1339403985,251326994,43871463,18159102,124306204
World,1910,1342939382,261157693,43850166,18350046,127026305
World,1911,1341907701,272170075,43772694,18525713,128544501
World,1912,1352165174,278119831,43639283,18686005,125380659
World,1913,1359757776,282750619,42353992,19926997,125671803
World,1914,1398595162,287167358,42147875,12583555,102637639
@@ -138,12 +138,12 @@ World,1935,1702679315,115443665,229992232,89250897,73046863
World,1936,1716805749,121733914,231292368,89760403,73774967
World,1937,1735765078,148565644,207555391,90273399,74512354
World,1938,1748882162,156803813,208607879,90789921,75259132
World,1939,1793328173,108835231,197748419,91328954,111855661
World,1940,1869590862,113891423,159585076,70886801,113403577
World,1941,1888155526,116129338,161402340,71295141,107806189
World,1942,1903785513,115483903,163450942,71721114,109445639
World,1943,1929555627,108095575,161770188,72165160,110172389
World,1944,1974777979,104514802,164044017,72613366,83709756
World,1939,1790049783,108835231,197748419,91328954,115134051
World,1940,1866300315,113891423,159585076,70886801,116694124
World,1941,1884852778,116129338,161402340,71295141,111108937
World,1942,1900470518,115483903,163450942,71721114,112760634
World,1943,1926228340,108095575,161770188,72165160,113499676
World,1944,1971438354,104514802,164044017,72613366,87049381
World,1945,1853490353,200423304,173177850,73065790,117256403
World,1946,1421003051,666267800,175539888,90595467,81642396
World,1947,1393626937,610628584,231149938,141036185,77604187
1 entity_name year population_closed_aut population_electoral_aut population_electoral_dem population_liberal_dem population_missing_data
3 World 1801 809728760 22309844 0 0 155589718
4 World 1802 812600666 22624318 0 0 155873754
5 World 1803 815500140 22943493 0 0 156166627
6 World 1804 818897125 816749928 23267444 0 0 155998671 158145868
7 World 1805 821852584 819705387 23596247 0 0 156309213 158456410
8 World 1806 824836486 822689289 23929977 0 0 156628604 158775801
9 World 1807 828738650 826591453 24268712 0 0 156067380 158214577
10 World 1808 831778975 829631778 24612534 0 0 156406004 158553201
11 World 1809 844464636 841368549 24961521 0 0 147137709 150233796
12 World 1810 850158239 847043637 25735756 0 0 146736202 149850804
13 World 1811 854698275 851565151 26528763 0 0 146260431 149393555
14 World 1812 859487315 856335315 27491242 0 0 146652579 149804579
15 World 1813 865618085 862446848 28634039 0 0 146191565 149362802
16 World 1814 870973493 869929847 29833433 0 0 146620366 147664012
17 World 1815 896309985 893099160 31092484 0 0 127183637 130394462
18 World 1816 901937287 898706099 32414425 0 0 127572801 130803989
19 World 1817 909326560 906074618 33802669 0 0 126317841 129569783
20 World 1818 915179892 911906799 35260822 0 0 126717838 129990931
21 World 1819 920188566 916895626 36581099 0 0 127988210 131281150
22 World 1820 925159712 921848247 37752758 0 0 130034952 133346417
23 World 1821 935074203 932812466 40020835 0 0 124236539 126498276
24 World 1822 940533946 938259740 40894941 0 0 124824896 127099102
25 World 1823 932899974 930614854 55376475 0 0 125238343 127523463
26 World 1824 946247840 943951677 43646032 0 0 130982297 133278460
27 World 1825 953151985 950844647 44379591 0 0 130811384 133118722
28 World 1826 963935697 961617048 45128383 0 0 126897108 129215757
29 World 1827 969914955 967584855 45892783 0 0 127877108 130207208
30 World 1828 975968585 973626891 46673172 0 0 128873665 131215359
31 World 1829 981555262 979204567 47455046 0 0 129888076 132238771
32 World 1830 988855635 986498584 47535918 0 0 130228306 132585357
33 World 1831 994363726 992003018 54386141 0 0 123516859 125877567
34 World 1832 994646111 992284346 59072867 0 0 124497320 126859085
35 World 1833 999876024 997515856 58305255 0 0 125493716 127853884
36 World 1834 1003476373 1003205077 59211186 0 0 126507306 126778602
37 World 1835 1005872686 1005598716 61365871 0 0 127538464 127812434
38 World 1836 994853239 994576576 76981832 0 0 128587515 128864178
39 World 1837 996553763 996274385 79924136 0 0 129654822 129934200
40 World 1838 1002009260 1001727147 79801814 0 0 130097543 130379656
41 World 1839 1019838805 1019551986 81114056 0 0 116659938 116946757
42 World 1840 1043510184 1043216653 62010356 0 0 118598152 118891683
43 World 1841 1050333572 1050031288 61438797 0 0 117049120 117351404
44 World 1842 1046709792 1046396677 69533004 0 0 118090957 118404072
45 World 1843 1050498833 1050172773 70135176 0 0 119152228 119478288
46 World 1844 1054329245 1053990041 70891449 0 0 120099223 120438427
47 World 1845 1058037377 1057684826 71704405 0 0 121194646 121547197
48 World 1846 1069354592 1068988490 64974119 0 0 122308752 122674854
49 World 1847 1065897177 1065517317 72733546 0 0 123793997 124173857
50 World 1848 1027966143 1027572315 115739366 0 0 124594496 124988324
51 World 1849 1031540679 1031134530 112982153 0 2361968 126510134 126916283
52 World 1850 1033822791 1033406003 113981619 0 2376868 128516892 128933680
53 World 1851 1069983782 1069563759 80145209 0 2390857 128524263 128944286
54 World 1852 1071442509 1071021050 81191228 0 2404184 128567202 128988661
55 World 1853 1071540074 1071119009 82153427 0 2416841 129295015 129716080
56 World 1854 1071298253 1070877588 83457566 0 2429565 130132479 130553144
57 World 1855 1071279813 1070859552 84639361 0 2442355 130982557 131402818
58 World 1856 1069653538 1069233685 87531315 0 2455213 131845489 132265342
59 World 1857 1069688320 1069268881 88865876 0 2468139 132721561 133141000
60 World 1858 1079779972 1079360952 79110316 0 3619471 133611051 134030071
61 World 1859 1079771323 1079354686 80848059 0 3711534 134543868 134960505
62 World 1860 1079356041 1078943769 83326384 0 3796042 136676796 137089068
63 World 1861 1084731222 1084325309 80345262 0 3871952 136542335 136948248
64 World 1862 1084807462 1084409918 82992279 0 3938125 137609158 138006702
65 World 1863 1084882410 1086237579 85958515 0 3993315 138722047 137366878
66 World 1864 1087442158 1088809360 86506509 0 4049793 139852107 138484905
67 World 1865 1058796944 1057292539 121202796 0 4107592 138115996 139620401
68 World 1866 1066310890 1064792985 116940556 0 4166751 139255875 140773780
69 World 1867 1067049964 1065518412 119519433 0 4227308 140413897 141945449
70 World 1868 1034629010 1033083661 139705938 0 4289302 157207652 158753001
71 World 1869 1031839693 1030280398 146295205 0 4350511 158554593 160113888
72 World 1870 993919630 992346235 188647022 0 4410839 161176781 162750176
73 World 1871 1000072516 998484486 187487232 0 4470190 161156009 162744039
74 World 1872 999843561 998241119 193413534 0 4528458 162405596 164008038
75 World 1873 1007853458 1006236448 191720349 0 4585535 163619112 165236122
76 World 1874 1026308790 1024677052 141230756 38412539 4643570 164845520 166477258
77 World 1875 1028447303 1026800678 145511215 38461370 4702578 166084979 167731604
78 World 1876 1033046531 1031384855 148282556 38510260 4762580 166455575 168117251
79 World 1877 1040985694 1039308805 146879893 38559209 4823595 167714005 169390894
80 World 1878 1042236264 1040543997 152222550 38608217 4885643 168986332 170678599
81 World 1879 1048806242 1047098429 151432751 38664188 4953116 171600210 173308023
82 World 1880 1049468161 1047744634 158424465 38727144 5026354 174352529 176076056
83 World 1881 1055022044 1053282631 161104421 38797107 5105711 174224661 175964074
84 World 1882 1056763630 1055008159 168181928 38874098 5191558 175548108 177303579
85 World 1883 1066911270 1065139567 167431938 38958140 5284280 176878932 178650635
86 World 1884 1071073910 1069285799 172787696 39042361 5379915 178223612 180011723
87 World 1885 1080906517 1077463043 167803417 39126760 5478561 184429108 187872582
88 World 1886 1079406023 1075931872 176556259 39211339 5580325 188341947 191816098
89 World 1887 1092781575 1089276474 172462197 39912699 5685314 189767985 193273086
90 World 1888 1099775859 1096239532 175468127 40012950 5793641 191209234 194745561
91 World 1889 1107004519 1103436689 178104698 40105103 5899570 192569309 196137139
92 World 1890 1115372588 1111772974 179481878 40189112 6002745 195415664 199015278
93 World 1891 1121834739 1118203059 182605015 40264930 6102789 195045315 198676995
94 World 1892 1127276855 1123612823 190024789 40332510 6199307 192728990 196393022
95 World 1893 1136549509 1132852837 188853051 40391803 6291885 194939987 198636659
96 World 1894 1125555306 1121825704 209256887 40451408 6385931 195983937 199713539
97 World 1895 1131253229 1127490403 204089780 40511329 12875979 199667326 203430152
98 World 1896 1154400623 1150604278 190471733 40571572 13035423 200776332 204572677
99 World 1897 1158824403 1154994240 195710615 40632141 13197018 201901061 205731224
100 World 1898 1145714244 1141849963 218595820 40693044 13360793 203041777 206906058
101 World 1899 1155926469 1152027766 225338299 40756003 6877634 204321447 208220150
102 World 1900 1254900261 1250966829 222361408 40821076 13695858 115626419 119559851
103 World 1901 1261433395 1257464926 228208911 40888319 13867172 114387846 118356315
104 World 1902 1271900943 1267897124 230208212 40957793 16666822 112830612 116834431
105 World 1903 1281568993 1277529511 234258744 41029557 16874470 113281041 117320523
106 World 1904 1292395536 1288320072 238105137 41183513 17084758 112878460 116953924
107 World 1905 1300153365 1296041600 242879329 41257547 17297719 114885091 118996856
108 World 1906 1313951227 1309802837 240692830 43653601 17513386 115683740 119832130
109 World 1907 1324304157 1320118817 243766978 43744565 17731796 117189358 121374698
110 World 1908 1335961473 1331738853 245702401 43836343 17952984 118747006 122969626
111 World 1909 1343664216 1339403985 251326994 43871463 18159102 120045973 124306204
112 World 1910 1347237559 1342939382 261157693 43850166 18350046 122728128 127026305
113 World 1911 1346244161 1341907701 272170075 43772694 18525713 124208041 128544501
114 World 1912 1352165174 278119831 43639283 18686005 125380659
115 World 1913 1359757776 282750619 42353992 19926997 125671803
116 World 1914 1398595162 287167358 42147875 12583555 102637639
138 World 1936 1716805749 121733914 231292368 89760403 73774967
139 World 1937 1735765078 148565644 207555391 90273399 74512354
140 World 1938 1748882162 156803813 208607879 90789921 75259132
141 World 1939 1793328173 1790049783 108835231 197748419 91328954 111855661 115134051
142 World 1940 1869590862 1866300315 113891423 159585076 70886801 113403577 116694124
143 World 1941 1888155526 1884852778 116129338 161402340 71295141 107806189 111108937
144 World 1942 1903785513 1900470518 115483903 163450942 71721114 109445639 112760634
145 World 1943 1929555627 1926228340 108095575 161770188 72165160 110172389 113499676
146 World 1944 1974777979 1971438354 104514802 164044017 72613366 83709756 87049381
147 World 1945 1853490353 200423304 173177850 73065790 117256403
148 World 1946 1421003051 666267800 175539888 90595467 81642396
149 World 1947 1393626937 610628584 231149938 141036185 77604187