A selection of variables from the "Autocracies of the World" dataset by Beatriz Magaloni, Jonathan Chu, and Eric Min. Please cite as Magaloni, Beatriz, Jonathan Chu, and Eric Min. 2013. Autocracies of the World, 1950-2012 (Version 1.0). Dataset, Stanford University. Original data and codebook available at http://cddrl.fsi.stanford.edu/research/autocracies_of_the_world_dataset/. The documentation here is directly derived from this codebook.

magaloni

Format

An object of class tbl_df (inherits from tbl, data.frame) with 8629 rows and 19 columns.

Variable descriptions

country_name
Standardized country name. This is the same across all datasets in this package, so you can always join them by country_name and year. Character with 172 distinct values. Most common: Afghanistan (63), Albania (63), Argentina (63), Australia (63), Austria (63), Belgium (63), Bhutan (63), Bolivia (63), Brazil (63), Bulgaria (63), Canada (63), Chile (63), China (63), Colombia (63), Costa Rica (63), Cuba (63), Denmark (63), Dominican Republic (63), Ecuador (63), Egypt (63), El Salvador (63), Ethiopia (63), Finland (63), France (63), German Federal Republic (64), Greece (63), Guatemala (63), Haiti (63), Honduras (63), Hungary (63), India (63), Indonesia (63), Iran (Persia) (63), Iraq (63), Ireland (63), Israel (63), Italy/Sardinia (63), Japan (63), Jordan (63), Korea, People's Republic of (63), Korea, Republic of (63), Lebanon (63), Liberia (63), Luxembourg (63), Mexico (63), Mongolia (63), Myanmar (Burma) (63), Nepal (63), Netherlands (63), New Zealand (63), Nicaragua (63), Norway (63), Pakistan (63), Panama (63), Paraguay (63), Peru (63), Philippines (63), Poland (63), Portugal (63), Rumania (63), Russia (Soviet Union) (63), Saudi Arabia (63), South Africa (63), Spain (63), Sri Lanka (Ceylon) (63), Sweden (63), Switzerland (63), Taiwan (63), Thailand (63), Turkey (Ottoman Empire) (63), United Kingdom (63), United States of America (63), Uruguay (63), Venezuela (63), Yemen (Arab Republic of Yemen) (63). NAs = 0.

GWn
Gleditsch-Ward numeric country code. See Gleditsch and Ward (1999). Numeric. Max = 950, min = 2, distinct = 172, mean = 458.422, sd = 244.528, NAs = 0.

year
Year. Numeric. Max = 2012, min = 1950, distinct = 63, mean = 1984.342, sd = 17.382, NAs = 0.

regime_nr
The regime type of a given country-year, in which the classification is based on the regime type that exists at the end of the year. This is the more "conventional" approach of other regime datasets. The list of potential regimes includes: Democracy, Multiparty Autocracy, Single party, Military, Monarchy. Character with 6 distinct values. Most common: Democracy (3419), Multiparty (1591), Single Party (1524). NAs = 4.

lindex
This a measure of personalism within each regime. According to the codebook, "the variable is essentially a Herfendahl index (sum of squared shares) using the name of the executive. For a given country-year in a unique regime (see reg_id), the following calculation is made: $sum_i=1^m (exec_i/n)^2$ where n is the age of the regime up to that year, and exec is the number of years that a unique executive i (out of a total m executives up to that year) has led the regime. As such, a regime led by only one person up through that year yields a personalism index of 1. A theoretical scenario where leadership changes every single year would yield 1/n. These calculations are made using the non-rounded values. We note that this is a relatively sensitive measure in the early/formative years of an individual regime, but we propose this is a useful way of considering personalism as an evolving attribute of a regime over time. " Numeric. Max = 1, min = 0.114, distinct = 1311, mean = 0.762, sd = 0.283, NAs = 3476.

duration_nr
The age of a regime up to the given country-year, without rounding. The first year in which a new regime takes hold is recorded as 1, regardless of when in the year this new regime appears. Numeric. Max = 222, min = 1, distinct = 223, mean = 26.129, sd = 33.453, NAs = 1.

magaloni_country
Country name in the original dataset. Character with 177 distinct values. Most common: Afghanistan (63), Albania (63), Argentina (63), Australia (63), Austria (63), Belgium (63), Bhutan (63), Bolivia (63), Brazil (63), Bulgaria (63), Canada (63), Chile (63), China (63), Colombia (63), Costa Rica (63), Cuba (63), Denmark (63), Dominican Republic (63), Ecuador (63), Egypt (63), El Salvador (63), Ethiopia (63), Finland (63), France (63), Greece (63), Guatemala (63), Haiti (63), Honduras (63), Hungary (63), India (63), Indonesia (63), Iran (63), Iraq (63), Ireland (63), Israel (63), Italy (63), Japan (63), Jordan (63), Korea North (63), Korea South (63), Lebanon (63), Liberia (63), Luxembourg (63), Mexico (63), Mongolia (63), Myanmar (Burma) (63), Nepal (63), Netherlands (63), New Zealand (63), Nicaragua (63), Norway (63), Pakistan (63), Panama (63), Paraguay (63), Peru (63), Philippines (63), Poland (63), Portugal (63), Romania (63), Saudi Arabia (63), South Africa (63), Spain (63), Sri Lanka (63), Sweden (63), Switzerland (63), Taiwan (63), Thailand (63), Turkey (63), United Kingdom (63), United States (63), Uruguay (63), Venezuela (63). NAs = 0.

GWc
Gleditsch-Ward alphabetic country code. See Gleditsch and Ward (1999). Character with 172 distinct values. Most common: AFG (63), ALB (63), ARG (63), AUL (63), AUS (63), BEL (63), BHU (63), BOL (63), BRA (63), BUL (63), CAN (63), CHL (63), CHN (63), COL (63), COS (63), CUB (63), DEN (63), DOM (63), ECU (63), EGY (63), ETH (63), FIN (63), FRN (63), GFR (64), GRC (63), GUA (63), HAI (63), HON (63), HUN (63), IND (63), INS (63), IRE (63), IRN (63), IRQ (63), ISR (63), ITA (63), JOR (63), JPN (63), LBR (63), LEB (63), LUX (63), MEX (63), MON (63), MYA (63), NEP (63), NEW (63), NIC (63), NOR (63), NTH (63), PAK (63), PAN (63), PAR (63), PER (63), PHI (63), POL (63), POR (63), PRK (63), ROK (63), RUM (63), RUS (63), SAF (63), SAL (63), SAU (63), SPN (63), SRI (63), SWD (63), SWZ (63), TAW (63), THI (63), TUR (63), UKG (63), URU (63), USA (63), VEN (63), YEM (63). NAs = 0.

cown
Correlates of War numeric country code. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 950, min = 2, distinct = 173, mean = 458.415, sd = 244.54, NAs = 0.

polity_ccode
Country code in Polity datasets. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 950, min = 2, distinct = 180, mean = 458.394, sd = 244.538, NAs = 0.

region
Region. Character with 20 distinct values. Most common: Eastern Africa (726), Western Africa (828), Western Asia (880). NAs = 0.

continent
Continent. Character with 5 distinct values. Most common: Africa (2529), Asia (2418), Europe (1867). NAs = 0.

GW_startdate
Date at which the state entered the system of states according to Gleditsch and Ward, or NA if it has never been a member. Date. Max = 2011-07-09, min = 1816-01-01, distinct = 138, NAs = 0.

GW_enddate
Date at which the state ceased to be a member of the system of states according to Gleditsch and Ward, or NA if it still exists. Date. Max = 2006-06-04, min = 1975-04-30, distinct = 6, NAs = 8445.

microstate
Indicator of whether the state is a microstate, according to Gleditsch's list of microstates. Logical. TRUE = 0, FALSE = 8629, NAs = 0.

lat
Latitude. Numeric. Max = 61.924, min = -40.901, distinct = 172, mean = 19.397, sd = 24.185, NAs = 0.

lon
Longitude. Numeric. Max = 178.065, min = -106.347, distinct = 172, mean = 20.442, sd = 60.537, NAs = 0.

in_cow
Whether the country-year is in the Correlates of War system of states. Logical. TRUE = 8553, FALSE = 76, NAs = 0.

in_system
Whether the country-year is in the Gleditsch-Ward system of states. See Gleditsch and Ward (1999). Logical. TRUE = 8625, FALSE = 4, NAs = 0.

References

Gleditsch, Kristian S. & Michael D. Ward. 1999. "Interstate System Membership: A Revised List of the Independent States since 1816." International Interactions 25: 393-413. The list can be found at http://privatewww.essex.ac.uk/~ksg/statelist.html

Magaloni, Beatriz, Jonathan Chu, and Eric Min. 2013. Autocracies of the World, 1950-2012 (Version 1.0). Dataset, Stanford University.

See also

Other democracy: all_gwf_extended_yearly, democracy, extended_uds, kailitz_yearly, lied, polity_annual, vdem, wahman_teorell

Other regime characteristics: PIPE, all_gwf_extended_yearly, all_gwf_periods, all_gwf, kailitz_yearly, lied, magaloni_extended, polity_annual, svolik_institutions, wahman_teorell

Other regime types: all_gwf_extended_yearly, all_gwf_periods, all_gwf, kailitz_yearly, magaloni_extended, wahman_teorell