all_gwf_periods: Selection from the Geddes, Wright, and Frantz Autocratic...

In xmarquez/AuthoritarianismBook: Replication Package for the Book Non-Democratic Politics by Xavier Marquez

Description

A selection of variables from the dataset described in Barbara Geddes, Joseph Wright, and Erica Frantz. 2014. "Autocratic Breakdown and Regime Transitions: A New Data Set." Perspectives on Politics 12(2): 313-331. The full data and codebook can be downloaded here http://sites.psu.edu/dictators/. The documentation below is derived from the codebook.

Usage

all_gwf_periods

Format

An object of class tbl_df (inherits from tbl, data.frame) with 486 rows and 20 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 155 distinct values. Most common: Bolivia (10), Haiti (13), Peru (10), Syria (10), Thailand (11). NAs = 0.

GWn

Gleditsch-Ward numeric country code. See Gleditsch and Ward (1999). Numeric. Max = 920, min = 2, distinct = 155, mean = 436.187, sd = 239.823, NAs = 0.

gwf_casename

Autocratic regime case name (country name and years); these are the units of observation for duration analysis. Character with 485 distinct values. Most common: Afghanistan 01-09 (1), Afghanistan 09-NA (1), Afghanistan 29-73 (1), Afghanistan 73-78 (1), Afghanistan 78-92 (1), Afghanistan 92-96 (1), Afghanistan 96-01 (1), Albania 44-91 (1), Albania 91-NA (1), Algeria 62-92 (1), Algeria 92-NA (1), Angola 75-NA (1), Argentina 43-46 (1), Argentina 46-51 (1), Argentina 51-55 (1), Argentina 55-58 (1), Argentina 58-66 (1), Argentina 66-73 (1), Argentina 73-76 (1), Argentina 76-83 (1), Argentina 83-NA (1), Armenia 91-94 (1), Armenia 94-98 (1), Armenia 98-NA (1), Australia 01-NA (1), Austria 45-NA (1), Azerbaijan 91-92 (1), Azerbaijan 92-93 (1), Azerbaijan 93-NA (1), Bangladesh 07-08 (1), Bangladesh 08-NA (1), Bangladesh 71-75 (1), Bangladesh 75-82 (1), Bangladesh 82-90 (1), Bangladesh 90-07 (1), Belarus 91-94 (1), Belarus 94-NA (1), Belgium 20-NA (1), Benin 60-63 (1), Benin 63-65 (1), Benin 65-67 (1), Benin 67-69 (1), Benin 69-70 (1), Benin 70-72 (1), Benin 72-90 (1), Benin 90-91 (1), Benin 91-NA (1), Bolivia 43-46 (1), Bolivia 46-51 (1), Bolivia 51-52 (1), Bolivia 52-64 (1), Bolivia 64-69 (1), Bolivia 69-71 (1), Bolivia 71-79 (1), Bolivia 79-80 (1), Bolivia 80-82 (1), Bolivia 82-NA (1), Bosnia and Herzegovina 92-95 (1), Bosnia and Herzegovina 95-09 (1), Botswana 66-NA (1), Brazil 45-64 (1), Brazil 64-85 (1), Brazil 85-NA (1), Bulgaria 44-90 (1), Bulgaria 90-NA (1), Burkina Faso 60-66 (1), Burkina Faso 66-80 (1), Burkina Faso 80-82 (1), Burkina Faso 82-87 (1), Burkina Faso 87-NA (1), Burundi 03-05 (1), Burundi 05-NA (1), Burundi 62-66 (1), Burundi 66-87 (1), Burundi 87-93 (1), Burundi 93-96 (1), Burundi 96-03 (1), Cambodia 53-70 (1), Cambodia 70-75 (1), Cambodia 75-79 (1), Cambodia 79-NA (1), Cameroon 60-83 (1), Cameroon 83-NA (1), Canada 21-NA (1), Cen African Rep 03-NA (1), Cen African Rep 60-65 (1), Cen African Rep 66-79 (1), Cen African Rep 79-81 (1), Cen African Rep 81-93 (1), Cen African Rep 93-03 (1), Chad 60-75 (1), Chad 75-79 (1), Chad 79-82 (1), Chad 82-90 (1), Chad 90-NA (1), Chile 32-73 (1), Chile 73-89 (1), Chile 89-NA (1), China 46-49 (1), China 49-NA (1), Colombia 34-49 (1), Colombia 49-53 (1), Colombia 53-58 (1), Colombia 58-NA (1), Congo-Brz 60-63 (1), Congo-Brz 63-68 (1), Congo-Brz 68-91 (1), Congo-Brz 91-92 (1), Congo-Brz 92-97 (1), Congo-Brz 97-NA (1), Congo/Zaire 60-97 (1), Congo/Zaire 97-NA (1), Costa Rica 19-48 (1), Costa Rica 48-49 (1), Costa Rica 49-NA (1), Croatia 91-NA (1), Cuba 44-52 (1), Cuba 52-59 (1), Cuba 59-NA (1), Czech Republic 93-NA (1), Czechoslovakia 46-48 (1), Czechoslovakia 48-89 (1), Czechoslovakia 89-93 (1), Denmark 01-NA (1), Dominican Rep 30-62 (1), Dominican Rep 62-63 (1), Dominican Rep 63-65 (1), Dominican Rep 65-66 (1), Dominican Rep 66-78 (1), Dominican Rep 78-NA (1), Ecuador 44-47 (1), Ecuador 47-48 (1), Ecuador 48-63 (1), Ecuador 63-66 (1), Ecuador 66-68 (1), Ecuador 68-70 (1), Ecuador 70-72 (1), Ecuador 72-79 (1), Ecuador 79-NA (1), Egypt 22-52 (1), Egypt 52-NA (1), El Salvador 31-48 (1), El Salvador 48-82 (1), El Salvador 82-94 (1), El Salvador 94-NA (1), Eritrea 93-NA (1), Estonia 91-NA (1), Ethiopia 74-91 (1), Ethiopia 89-74 (1), Ethiopia 91-NA (1), Finland 45-NA (1), France 1875-NA (1), Gabon 60-NA (1), Gambia 65-94 (1), Gambia 94-NA (1), Georgia 03-04 (1), Georgia 04-NA (1), Georgia 91-92 (1), Georgia 92-03 (1), Germany 49-NA (1), Germany East 49-90 (1), Ghana 00-NA (1), Ghana 56-60 (1), Ghana 60-66 (1), Ghana 66-69 (1), Ghana 69-72 (1), Ghana 72-79 (1), Ghana 79-81 (1), Ghana 81-00 (1), Greece 44-46 (1), Greece 46-67 (1), Greece 67-74 (1), Greece 74-NA (1), Guatemala 44-54 (1), Guatemala 54-58 (1), Guatemala 58-63 (1), Guatemala 63-66 (1), Guatemala 66-70 (1), Guatemala 70-85 (1), Guatemala 85-95 (1), Guatemala 95-NA (1), Guinea 08-10 (1), Guinea 58-84 (1), Guinea 84-08 (1), Guinea Bissau 00-02 (1), Guinea Bissau 02-03 (1), Guinea Bissau 03-05 (1), Guinea Bissau 05-NA (1), Guinea Bissau 74-80 (1), Guinea Bissau 80-99 (1), Guinea Bissau 99-00 (1), Haiti 04-06 (1), Haiti 06-NA (1), Haiti 41-46 (1), Haiti 46-50 (1), Haiti 50-56 (1), Haiti 56-57 (1), Haiti 57-86 (1), Haiti 86-88 (1), Haiti 88-90 (1), Haiti 90-91 (1), Haiti 91-94 (1), Haiti 94-99 (1), Haiti 99-04 (1), Honduras 33-56 (1), Honduras 56-57 (1), Honduras 57-63 (1), Honduras 63-71 (1), Honduras 71-72 (1), Honduras 72-81 (1), Honduras 81-NA (1), Hungary 45-47 (1), Hungary 47-90 (1), Hungary 90-NA (1), Iceland 45-NA (1), India 47-NA (1), Indonesia 49-66 (1), Indonesia 66-99 (1), Indonesia 99-NA (1), Iran 25-79 (1), Iran 79-NA (1), Iraq 03-10 (1), Iraq 32-58 (1), Iraq 58-63 (1), Iraq 63-68 (1), Iraq 68-79 (1), Iraq 79-03 (1), Ireland 21-NA (1), Israel 48-NA (1), Italy 46-NA (1), Ivory Coast 00-NA (1), Ivory Coast 60-99 (1), Ivory Coast 99-00 (1), Japan 46-NA (1), Jordan 46-NA (1), Kazakhstan 91-NA (1), Kenya 02-NA (1), Kenya 63-02 (1), Korea North 48-NA (1), Korea South 48-60 (1), Korea South 61-87 (1), Korea, South 60-61 (1), Korea, South 87-NA (1), Kuwait 61-NA (1), Kyrgyzstan 05-10 (1), Kyrgyzstan 91-05 (1), Laos 53-59 (1), Laos 59-60 (1), Laos 60-62 (1), Laos 62-73 (1), Laos 73-75 (1), Laos 75-NA (1), Latvia 91-NA (1), Lebanon 05-NA (1), Lebanon 43-76 (1), Lebanon 76-05 (1), Lesotho 65-70 (1), Lesotho 70-86 (1), Lesotho 86-93 (1), Lesotho 93-NA (1), Liberia 03-05 (1), Liberia 05-NA (1), Liberia 44-80 (1), Liberia 80-90 (1), Liberia 90-97 (1), Liberia 97-03 (1), Libya 51-69 (1), Libya 69-NA (1), Lithuania 91-NA (1), Luxemburg 1870-NA (1), Macedonia 91-NA (1), Madagascar 09-NA (1), Madagascar 60-72 (1), Madagascar 72-75 (1), Madagascar 75-93 (1), Madagascar 93-09 (1), Malawi 64-94 (1), Malawi 94-NA (1), Malaysia 57-NA (1), Mali 60-68 (1), Mali 68-91 (1), Mali 91-92 (1), Mali 92-NA (1), Mauritania 05-07 (1), Mauritania 07-08 (1), Mauritania 08-NA (1), Mauritania 60-78 (1), Mauritania 78-05 (1), Mauritius 68-NA (1), Mexico 00-NA (1), Mexico 15-00 (1), Moldova 91-NA (1), Mongolia 21-93 (1), Mongolia 93-NA (1), Montenegro 06-NA (1), Morocco 56-NA (1), Mozambique 75-NA (1), Myanmar 48-58 (1), Myanmar 58-60 (1), Myanmar 60-62 (1), Myanmar 62-88 (1), Myanmar 88-NA (1), Namibia 90-NA (1), Nepal 02-06 (1), Nepal 06-NA (1), Nepal 46-51 (1), Nepal 51-91 (1), Nepal 91-02 (1), Netherlands 1870-NA (1), New Zealand 07-NA (1), Nicaragua 36-79 (1), Nicaragua 79-90 (1), Nicaragua 90-NA (1), Niger 60-74 (1), Niger 74-91 (1), Niger 91-93 (1), Niger 93-96 (1), Niger 96-99 (1), Niger 99-NA (1), Nigeria 60-66 (1), Nigeria 66-79 (1), Nigeria 79-83 (1), Nigeria 83-93 (1), Nigeria 93-99 (1), Nigeria 99-NA (1), Norway 1885-NA (1), Oman 41-NA (1), Pakistan 08-NA (1), Pakistan 47-58 (1), Pakistan 58-71 (1), Pakistan 71-75 (1), Pakistan 75-77 (1), Pakistan 77-88 (1), Pakistan 88-99 (1), Pakistan 99-08 (1), Panama 45-49 (1), Panama 49-51 (1), Panama 51-52 (1), Panama 52-53 (1), Panama 53-55 (1), Panama 55-68 (1), Panama 68-82 (1), Panama 82-89 (1), Panama 89-NA (1), Paraguay 39-48 (1), Paraguay 48-54 (1), Paraguay 54-93 (1), Paraguay 93-NA (1), Peru 00-01 (1), Peru 01-NA (1), Peru 45-48 (1), Peru 48-56 (1), Peru 56-62 (1), Peru 62-63 (1), Peru 63-68 (1), Peru 68-80 (1), Peru 80-92 (1), Peru 92-00 (1), Philippines 46-72 (1), Philippines 72-86 (1), Philippines 86-NA (1), Poland 44-89 (1), Poland 89-NA (1), Portugal 26-74 (1), Portugal 74-76 (1), Portugal 76-NA (1), Romania 45-89 (1), Romania 89-90 (1), Romania 90-NA (1), Russia 91-93 (1), Russia 93-NA (1), Rwanda 62-73 (1), Rwanda 73-94 (1), Rwanda 94-NA (1), Saudi Arabia 27-NA (1), Senegal 00-NA (1), Senegal 60-00 (1), Serbia 00-NA (2), Serbia 91-00 (1), Sierra Leone 61-67 (1), Sierra Leone 67-68 (1), Sierra Leone 68-92 (1), Sierra Leone 92-96 (1), Sierra Leone 96-97 (1), Sierra Leone 97-98 (1), Sierra Leone 98-NA (1), Singapore 65-NA (1), Slovakia 93-NA (1), Slovenia 91-NA (1), Somalia 60-69 (1), Somalia 69-91 (1), Somalia 91-NA (1), South Africa 10-94 (1), South Africa 94-NA (1), Soviet Union 17-91 (1), Spain 39-76 (1), Spain 76-77 (1), Spain 77-NA (1), Sri Lanka 48-78 (1), Sri Lanka 78-94 (1), Sri Lanka 94-NA (1), Sudan 56-58 (1), Sudan 58-64 (1), Sudan 64-65 (1), Sudan 65-69 (1), Sudan 69-85 (1), Sudan 85-86 (1), Sudan 86-89 (1), Sudan 89-NA (1), Swaziland 68-NA (1), Sweden 19-NA (1), Switzerland 1870-NA (1), Syria 46-47 (1), Syria 47-49 (1), Syria 49-51 (1), Syria 51-54 (1), Syria 54-57 (1), Syria 57-58 (1), Syria 58-61 (1), Syria 61-62 (1), Syria 62-63 (1), Syria 63-NA (1), Taiwan 00-NA (1), Taiwan 49-00 (1), Tajikistan 91-NA (1), Tanzania 60-64 (1), Tanzania 64-NA (1), Thailand 06-07 (1), Thailand 07-NA (1), Thailand 44-47 (1), Thailand 47-57 (1), Thailand 57-73 (1), Thailand 73-75 (1), Thailand 75-76 (1), Thailand 76-88 (1), Thailand 88-91 (1), Thailand 91-92 (1), Thailand 92-06 (1), Togo 60-63 (1), Togo 63-NA (1), Tunisia 56-NA (1), Turkey 23-50 (1), Turkey 50-57 (1), Turkey 57-60 (1), Turkey 60-61 (1), Turkey 61-80 (1), Turkey 80-83 (1), Turkey 83-NA (1), Turkmenistan 91-NA (1), Uganda 62-66 (1), Uganda 66-71 (1), Uganda 71-79 (1), Uganda 79-80 (1), Uganda 80-85 (1), Uganda 85-86 (1), Uganda 86-NA (1), UK 11-NA (1), Ukraine 91-NA (1), United Arab Emirates 71-NA (1), Uruguay 42-73 (1), Uruguay 73-84 (1), Uruguay 84-NA (1), USA 1871-NA (1), Uzbekistan 91-NA (1), Venezuela 05-NA (1), Venezuela 45-47 (1), Venezuela 47-48 (1), Venezuela 48-58 (1), Venezuela 58-05 (1), Vietnam 54-NA (1), Vietnam South 54-63 (1), Vietnam South 63-75 (1), Yemen 18-62 (1), Yemen 62-67 (1), Yemen 67-74 (1), Yemen 74-78 (1), Yemen 78-NA (1), Yemen South 67-90 (1), Yugoslavia 45-90 (1), Zambia 64-67 (1), Zambia 67-91 (1), Zambia 91-96 (1), Zambia 96-NA (1), Zimbabwe 65-80 (1), Zimbabwe 80-NA (1). NAs = 0.

gwf_full_regimetype

Regime type. Includes "democracy" and "no-authority" conditions (foreign occupation, warlordism, etc.). Factor with 16 levels. Most common: democracy (164), military (49), military-personal (23), monarchy (19), party (51), personal (100), provisional (26). NAs = 0.

gwf_startdate

Start date for the regime. Other.

gwf_enddate

End date for the regime. Other.

gwf_howend

How did the regime end? Factor with 10 levels. Most common: 0: regime still in power on December 31, 2010 (57), 2: incumbent loses elections (28), 3: no incumbent runs in competitive election won by opponent (31), 4: popular uprising (38), 5: military coup (77), 6: insurgents, revolutionaries, or combatants fighting a civil war (17), NA (206). NAs = 206.

gwf_violent

Extent of violence in the event leading to the end of the regime. Factor with 5 levels. Most common: 0: regime still in power on December 31, 2010 (57), 1: no deaths (125), 2: 1-25 deaths (44), 3: 26-1000 deaths (26), 4: >1000 (28), NA (206). NAs = 206.

gwf_country

Country name in the original dataset. Character with 121 distinct values. Most common: Argentina (6), Benin (6), Bolivia (8), Guatemala (6), Haiti (7), Syria (6), Thailand (6). NAs = 206.

cown

Correlates of War numeric country code. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 920, min = 2, distinct = 155, mean = 436.2, sd = 239.821, NAs = 0.

polity_ccode

Country code in Polity datasets. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 920, min = 2, distinct = 158, mean = 436.216, sd = 239.816, NAs = 0.

region

Region. Character with 19 distinct values. Most common: South America (60), Western Africa (75), Western Asia (48). NAs = 0.

continent

Continent. Character with 5 distinct values. Most common: Africa (166), Americas (120), Asia (135). 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 = 2006-06-05, min = 1816-01-01, distinct = 121, 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 = 476.

microstate

Indicator of whether the state is a microstate, according to Gleditsch's list of microstates. Logical. TRUE = 0, FALSE = 486, NAs = 0.

lat

Latitude. Numeric. Max = 64.963, min = -40.901, distinct = 155, mean = 15.552, sd = 21.82, NAs = 0.

lon

Longitude. Numeric. Max = 174.886, min = -106.347, distinct = 155, mean = 10.023, sd = 59.286, NAs = 0.

in_cow

Whether the country-year is in the Correlates of War system of states. Logical. TRUE = 483, FALSE = 3, NAs = 0.

in_system

Whether the country-year is in the Gleditsch-Ward system of states. See Gleditsch and Ward (1999). Logical. TRUE = 486, FALSE = 0, NAs = 0.

References

Geddes, Barbara, Joseph Wright, and Erica Frantz (2014). "Autocratic Breakdown and Regime Transitions: A New Data Set." Perspectives on Politics 12 (1): 313-31. doi:10.1017/S1537592714000851.

See Also

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

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

xmarquez/AuthoritarianismBook documentation built on May 4, 2019, 1:24 p.m.