Replication Data for: The effects of fiscal policy management, candidacy of previous mayors, and illiteracy on mayoral reelection in Brazildoi:10.34622/datarepositorium/GWG4LZRepositório de Dados da Universidade do Minho2024-06-041Veiga, Francisco J.; Veiga, Linda G.; Lautenschlage, Jonatan, 2024, "Replication Data for: The effects of fiscal policy management, candidacy of previous mayors, and illiteracy on mayoral reelection in Brazil", https://doi.org/10.34622/datarepositorium/GWG4LZ, Repositório de Dados da Universidade do Minho, V1, UNF:6:/tUoUw6wkNcEXfbABhYYaA== [fileUNF]Replication Data for: The effects of fiscal policy management, candidacy of previous mayors, and illiteracy on mayoral reelection in Brazildoi:10.34622/datarepositorium/GWG4LZVeiga, Francisco J.Veiga, Linda G.Lautenschlage, Jonatan2023-09-11Brazil and PortugalStataUIDB/ECO/03182/2020Repositório de Dados da Universidade do MinhoVeiga, FranciscoVeiga, Francisco2024-06-04Social SciencesBrazilMunicipal financesLocal electionsIlliteracyElectionsLocal FinancesPanel dataset on election results, municipal finances, and several political, socioeconomic, and demographic variables for Brazilian municipalities, covering the local election years of 2008, 2012, 2016, and 2020. Data on electoral results, political parties, and personal characteristics of mayors were extracted from the electoral database of the Brazilian Superior Electoral Court (Tribunal Superior Eleitoral). Data on municipal expenditures were extracted from the database Finances of Brazil (FINBRA—Finanças do Brasil—Dados Contábeis dos Municípios) and further accounting data on municipalities was obtained from the National Secretary of Treasure (Secretaria do Tesouro Nacional). Data on municipal characteristics were extracted from the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística—IBGE). Data on TV and radio stations were extracted from the National Telecommunication Agency (Agência Nacional de Telecomunicações—ANATEL) and consumer price indices were obtained from the Getúlio Vargas Foundation (Fundação Getúlio Vargas—FGV). Since the article analyzes the determinants of the reelection of Brazilian mayors, the sample is restricted to the four local election years and to the municipalities whose incumbent mayors ran for reelection. Overall, we work with an unbalanced panel data set comprising at most 5114 municipalities in the election years of 2008, 2012, 2016, and 2020, with a maximum of 9491 observations.2008202020212023-09-11Aggregate panel data for Brazilian municipalitiesThe variable labels in the dta-file provide some description of each variable. See Table 1 and read Section 4 of the paper for a more complete description of the data used.Data on electoral results, political parties, and personal characteristics of mayors were extracted from the electoral database of the Brazilian Superior Electoral Court (Tribunal Superior Eleitoral). Data on municipal expenditures were extracted from the database Finances of Brazil (FINBRA—Finanças do Brasil—Dados Contábeis dos Municípios) and further accounting data on municipalities was obtained from the National Secretary of Treasure (Secretaria do Tesouro Nacional). Data on municipal characteristics were extracted from the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística—IBGE). Data on TV and radio stations were extracted from the National Telecommunication Agency (Agência Nacional de Telecomunicações—ANATEL) and consumer price indices were obtained from the Getúlio Vargas Foundation (Fundação Getúlio Vargas—FGV).CC0 Waiver10.1111/ecpo.12290Lautenschlage, J., Veiga, L. G., & Veiga, F. J. (2024). The effects of fiscal policy management, candidacy of previous mayors, and illiteracy on mayoral reelection in Brazil. Economics & Politics, 1–37.ECOPOL2024.tab1037638text/tab-separated-valuesUNF:6:/tUoUw6wkNcEXfbABhYYaA==Municipal code3232907.432729456610376.05222302.03139409.01100023.00.0989845.7125662237.UNF:6:ekU3iYLJ3IXuzh1e5eGE2g==Dummy =1 if incumbent mayor is reelected1.010376.00.491059111709762740.01.00.5942559753276777.0.0UNF:6:kWZ9ockB4bk0EbvzkRkfbQ==Dummy =1 if there is a radio broadcaster in the municipality0.45962164358593910.30310331534310370.00.0.0.010376.01.0UNF:6:ntPjTtTgyuOWLbmiOzlSlg==Dummy =1 if there is a TV broadcaster in the municipality0.010376.00.1747134200553190.00.00.03151503469545036.1.0UNF:6:5zZMeW6/QfiFXrrZhBsMkA==Previous term���limited mayor (=1 if running against the incumbent)0.00.00.2524094063222835.1.00.4344157982485003510376.00.0UNF:6:XafPaM/XBcQuNhzDl2XwrA==Vice-mayor (=1 if running against the incumbent)0.00.266705900165181030.07706404320987650.0.8.01.010368.0UNF:6:rvqP+uABFCHek1TCE6JbHg==Governor's party (=1 if mayor belongs to the state governor's party)0.40014954821322890.0.1.015.00.00.2001737284045948510361.0UNF:6:9UvqK+RlTFJ58g4DlEm8Zw==President's party (=1 if mayor belongs to the Brazilian president's party)0.130103271884952850.336433254738181751.0.10361.015.00.00.0UNF:6:mcFTMH7+0pQ15Fty+85LwA==Election year2012.00.010376.02020.0.4.6492277836751192013.92328450269862008.0UNF:6:6EIw19nKJ5QT1d9zTqgMiA==Bolsa Familia (hundreds of reais of 2020)0.0224386807531118412.234294891357422.32.02.15368287320334410344.01.65986889600753781.68687857509672UNF:6:3g60Hi6LMrrvyrkWfQq+lQ==Average per capita income over the term0.019.229398958758296.18.8050365447998055.00866360251034781.740577697753910376.04.616369247436523UNF:6:M+vcEvnpFruGDrzKHN2LJA==Jobs created over the term diveded by population10223.0-17.23480415344238329.394065856933594.0.356935733122171361.3302716818688811153.00.1410471796989441UNF:6:jajhV/6QEk8a7WycF6KohA==Previous mayor - Investment (term average)2.4302251338958743.1774984875662510284.086.58614349365234.0.03.25242228890241492.0UNF:6:Hap6JvGRu3GiSahI7rzkJA==GINI coefficient of the municipality0.069525654182382250.51454847725520430.00.5110376.00.28.0.87UNF:6:WWbkg8+oDFpzkmIapwviIg==Current expenditure (term average)33.027.4570064544677737.073188304901123.14.71594542328895910343.031.082899514726993192.40695190429688UNF:6:NcZbLexypxCR6q7Wz3bcHQ==Investment (term average)62.838695526123050.03.466397779952861634.02.6481567621231083.0733549063811245.10342.0UNF:6:mpN4uADy/0O2+I/hGuP1yg==Budget balance (term average)-133.243865966796883.0865197026489349.179382753789865707.18670654296881.78010416030883810343.0.33.0UNF:6:D93gqXsxmC8211Gter/VNQ==Previous mayor - Current expenditure (term average)4.38153648376464826.84975112577556.10285.0281.975494384765614.06333585934188323.81300354003906291.0UNF:6:xhNYf293qudC8x4IMipQng==Budget balance in election year (% dev from previous 3 years)549.01200570.75235.83834893751933-152018.82812515577.484258847699827.0.11.794876098632812UNF:6:gE/wWDA9uzmHHjOwJUCfGQ==Previous mayor - Investment in election year (% dev from previous 3 years)22.92372707020833.-100.0114.96210456247864-1.88907349109649662486.4807128906251094.09282.0UNF:6:lRInx7HQ4QmBr0ThYUxOhg==Previous mayor - Current expenditure in election year1081.0-100.03.7007255554199224.131547093922069295.014.310839375483368164.6038360595703.UNF:6:ZZLox+/Z9ZRHuHuXU4V64w==Current expenditure in election year (% dev from previous 3 years)202.361663818359386.409789906387093553.013.735300691814034.9823.0-97.509590148925785.593916893005371UNF:6:47J6+ibxuUJ2icoaQA0QJw==Investment in election year (% dev from previous 3 years).9806.0-100.028.33483886718753063.10864257812552.518626697323995570.0114.4929754957329UNF:6:MccDWYBmP71xQDy/HlqszA==Previous mayor - Investment in pre-election year (% dev from previous 2 years)643.066.8417701440847-11.546500205993652-11.429992890440108.9733.0366.7697448730469-282.2364196777344UNF:6:DFHQCVeQSLYVcm2GSELciw==Investment in pre���election year (% dev from previous 2 years)13.56146141960535410054.0-227.04762268066406374.319091796875.60.9679102241234413.502030849456787322.0UNF:6:apeGMn4kD5VuGgQxIvsikA==Illiteracy (% of iliterate population).10.9289451896586860.017.97804453157369815.090000152587890.94999998807907159.3600006103515610376.0UNF:6:20JUv/14cLL3ZNREY1QlQA==Margin of victory (% vote difference to main opponent in 1st round)0.015.87829557877415418.418685290403594100.010376.00.0.10.533286571502686UNF:6:AgsaBcau7cCPp7jcmIR8aA==Dummy for a female mayor0.01.0.0.00.106303006939089520.00.308239897708546510376.0UNF:6:7chHKWQM1hlQBE3Rlcs5fQ==% of urban area in the municipality0.010376.0100.062.01605319371934422.516188035423237.62.8641738891601560.0UNF:6:cayBJBJFBKblW0kWHJVZfw==Mayor's age (in years)10376.088.050.0.50.662104857363040.09.84699985931708525.0UNF:6:1KS6x7Ybd7Da+vzkDEt3RQ==Dummy if mayor belongs to a left-wing party1.00.00.095508866615265240.293930688196306510376.00.0.0.0UNF:6:sGHOPvMqR7qRThF1+Hj5Kg==% of the population above 65 years old20.4188480377197277.6843247413635250.02.4269025951892087.784854410401536.0.978896498680114710376.0UNF:6:pjMrsrwWNP2cX8gXL2Ia6w==Vote share of incumbent mayor (1st round)0.0.100.08472.017.34113795623572351.059637986167551904.050.34243202209473UNF:6:Jh6lbq8PMPn5sjpHRPB7Aw==% change in the municipal population over the term.59.986404418945311.70949272302882289635.07.1962797704998875741.01.067993402481079-29.59019660949707UNF:6:t7EfPdrZm9SfHsbnx+HwFQ==Terciles of Illiteracy2.00.010376.0.2.03.01.00.8123148537893093UNF:6:X8XRiAVvBWuERiwsiY597g==Quartiles of Illiteracy10376.04.00.02.50077101002314531.03.01.1177427266936544.UNF:6:P4ON0uRpAB+sUmhLdCv/lA==Dummy for illiteracy above its median10376.00.49971087124129661.00.0.0.50002401220543990.00.0UNF:6:i+IJL9SBdlRvCc7u9R89Rw==Dummy for illiteracy equal to or below its median.0.50028912875870330.00.50002401220543990.010376.01.01.0UNF:6:kkCkYwpxoJrurT7Iw8hHBA==00_ReadMe.txtDescription of the dataset and files.text/plainreplication_ECOPOL2024.doStata do-file with the code to replicate the tables and figures shown in the paper.application/x-stata-syntax