Selection from the Autocracies of the World dataset v. 1.0 � magaloni • AuthoritarianismBook

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.

Selection from the Autocracies of the World dataset v. 1.0

Format

Variable descriptions

References

See also

Contents