<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: Compulsory Voting Increases Men's Turnout Most</titl><IDNo agency="DOI">doi:10.7910/DVN/C0VFMH</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2025-01-30</distDate></distStmt><verStmt source="archive"><version date="2025-01-30" type="RELEASED">1</version></verStmt><biblCit>Singh, Shane, 2025, "Replication Data for: Compulsory Voting Increases Men's Turnout Most", https://doi.org/10.7910/DVN/C0VFMH, Harvard Dataverse, V1, UNF:6:1TS2dRvJOIqTVIhaNY/DZQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Compulsory Voting Increases Men's Turnout Most</titl><IDNo agency="DOI">doi:10.7910/DVN/C0VFMH</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Georgia">Singh, Shane</AuthEnty></rspStmt><prodStmt><producer affiliation="University of Georgia">Shane Singh</producer></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="University of Georgia" email="singh@uga.edu">Shane Singh</contact><depositr>Singh, Shane</depositr><depDate>2024-12-02</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/C0VFMH"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>compulsory voting</keyword></subject><abstract>Equal turnout fosters equal representation. As such, researchers have long sought to understand what causes gender differences in voter participation. I argue that compulsory voting increases men’s turnout relative to that of women. This is because men are particularly receptive to external incentives, while women are more intrinsically motivated. Within Brazil and across countries, I use administrative data to show that compulsory voting increases men’s turnout most. I also argue that, due to social desirability bias, nonvoting women are most likely to claim to have participated under mandatory voting. With comparisons of official and reported turnout, I demonstrate compulsory voting increases women’s turnout overreporting relative to that of men. By increasing men’s relative turnout, compulsory voting could introduce or accentuate representational disparities in favor of men, and this potentiality can be obscured by survey data.</abstract><sumDscr/><notes>This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University.  
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The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the &lt;a href="https://www.cos.io/">Center for Open Science&lt;/a>.  
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Open Materials Badge</notes></stdyInfo><method><dataColl><sources><dataSrc>Stockemer, Daniel, and Aksel Sundström. 2023. “The Gender Gap in Voter Turnout: An Artefact of Men’s Over-Reporting in Survey Research?” British Journal of Politics and International Relations 25 (1): 21–41.</dataSrc><dataSrc>&lt;br>&lt;/br>
Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Ana Good God, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Joshua Krusell, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Natalia Natsika, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Oskar Rydén, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson, and Daniel Ziblatt. 2023. V-Dem [Country-Year/Country-Date] Dataset V13: Varieties of Democracy (V-Dem) Project.</dataSrc><dataSrc>&lt;br>&lt;/br>
Brazilian Electoral Study. 2018. CESOP-IBOPE. Survey study no. 04622. https://www.cesop.unicamp.br/eng/banco_de_dados/v/4538</dataSrc><dataSrc>&lt;br>&lt;/br>
Brazilian Electoral Study. 2022. CESOP-QUAEST. Survey study no. 04810. https://www.cesop.unicamp.br/eng/banco_de_dados/v/4680</dataSrc><dataSrc>&lt;br>&lt;/br>
Superior Electoral Court (Tribunal Superior Eleitoral) of Brazil.</dataSrc><dataSrc>&lt;br>&lt;/br>
The Comparative Study of Electoral Systems (www.cses.org). CSES MODULE 1 FULL RELEASE [dataset]. December 15, 2015 version. doi:10.7804/cses.module1.2015-12-15</dataSrc><dataSrc>&lt;br>&lt;/br>
The Comparative Study of Electoral Systems (www.cses.org). CSES MODULE 2 FULL RELEASE [dataset]. December 15, 2015 version. doi:10.7804/cses.module2.2015-12-15</dataSrc><dataSrc>The Comparative Study of Electoral Systems (www.cses.org). CSES MODULE 3 FULL RELEASE [dataset]. December 15, 2015 version. doi:10.7804/cses.module3.2015-12-15</dataSrc><dataSrc>&lt;br>&lt;/br>
The Comparative Study of Electoral Systems (www.cses.org). CSES MODULE 4 FULL RELEASE [dataset]. May 29, 2018 version. doi:10.7804/cses.module4.2018-05-29</dataSrc><dataSrc>&lt;br>&lt;/br>
The Comparative Study of Electoral Systems (www.cses.org). CSES MODULE 5 FULL RELEASE [dataset]. July 25, 2023 version. doi:10.7804/cses.module5.2023-07-25</dataSrc><dataSrc>&lt;br>&lt;/br>
Singh, Shane P. 2022. “2022 Compulsory Voting and Turnout in Brazil Survey Experiment.” Athens, GA: University of Georgia.</dataSrc></sources></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt><disclaimer>The &lt;i>American Journal of Political Science&lt;/i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the &lt;i>AJPS&lt;/i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.</disclaimer></useStmt><notes type="DVN:TOU" level="dv">This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use.</notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Singh, Shane P. “Compulsory Voting Increases Men’s Turnout Most. American Journal of Political Science.</titl></titlStmt><biblCit>Singh, Shane P. “Compulsory Voting Increases Men’s Turnout Most. 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type="freq">1853</catStat></catgry><catgry><catValu>223</catValu><labl level="category">THA_2019</labl><catStat type="freq">994</catStat></catgry><catgry><catValu>159</catValu><labl level="category">TUR_2011</labl><catStat type="freq">955</catStat></catgry><catgry><catValu>169</catValu><labl level="category">USA_2004</labl><catStat type="freq">946</catStat></catgry><catgry><catValu>65</catValu><labl level="category">HKG_2004</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>14</catValu><labl level="category">BLR_2001</labl><catStat type="freq">874</catStat></catgry><catgry><catValu>100</catValu><labl level="category">MEX_2003</labl><catStat type="freq">1587</catStat></catgry><catgry><catValu>203</catValu><labl level="category">ITA_2018</labl><catStat type="freq">1570</catStat></catgry><catgry><catValu>116</catValu><labl level="category">NZL_2002</labl><catStat type="freq">1268</catStat></catgry><catgry><catValu>185</catValu><labl level="category">CZE_2021</labl><catStat type="freq">897</catStat></catgry><catgry><catValu>97</catValu><labl level="category">LVA_2014</labl><catStat type="freq">841</catStat></catgry><catgry><catValu>87</catValu><labl level="category">JPN_2013</labl><catStat type="freq">1615</catStat></catgry><catgry><catValu>198</catValu><labl level="category">IND_2019</labl><catStat type="freq">11749</catStat></catgry><catgry><catValu>1</catValu><labl level="category">ALB_2005</labl><catStat type="freq">1042</catStat></catgry><catgry><catValu>202</catValu><labl level="category">ISR_2020</labl><catStat type="freq">674</catStat></catgry><catgry><catValu>122</catValu><labl level="category">PER_2006</labl><catStat type="freq">1799</catStat></catgry><catgry><catValu>20</catValu><labl level="category">CAN_1997</labl><catStat type="freq">1684</catStat></catgry><catgry><catValu>187</catValu><labl level="category">DEU_2021</labl><catStat type="freq">2481</catStat></catgry><catgry><catValu>85</catValu><labl level="category">JPN_2004</labl><catStat type="freq">1293</catStat></catgry><catgry><catValu>196</catValu><labl level="category">HKG_2016</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>37</catValu><labl level="category">DEU_1998</labl><catStat type="freq">1751</catStat></catgry><catgry><catValu>219</catValu><labl level="category">ROU_2016</labl><catStat type="freq">746</catStat></catgry><catgry><catValu>151</catValu><labl level="category">SVN_2011</labl><catStat type="freq">596</catStat></catgry><catgry><catValu>110</catValu><labl level="category">NOR_1997</labl><catStat type="freq">1934</catStat></catgry><catgry><catValu>228</catValu><labl level="category">URY_2019</labl><catStat type="freq">1003</catStat></catgry><catgry><catValu>226</catValu><labl level="category">TWN_2016</labl><catStat type="freq">1355</catStat></catgry><catgry><catValu>200</catValu><labl level="category">ISL_2016</labl><catStat type="freq">812</catStat></catgry><catgry><catValu>128</catValu><labl level="category">POL_1997</labl><catStat type="freq">1809</catStat></catgry><catgry><catValu>63</catValu><labl level="category">HKG_1998</labl><catStat type="freq">784</catStat></catgry><catgry><catValu>75</catValu><labl level="category">ISL_2003</labl><catStat type="freq">1031</catStat></catgry><catgry><catValu>7</catValu><labl level="category">AUT_2008</labl><catStat type="freq">916</catStat></catgry><catgry><catValu>141</catValu><labl level="category">ROU_2014</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>18</catValu><labl level="category">BRA_2010</labl><catStat type="freq">1823</catStat></catgry><catgry><catValu>62</catValu><labl level="category">GRC_2015</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>148</catValu><labl level="category">SVN_1996</labl><catStat type="freq">953</catStat></catgry><catgry><catValu>188</catValu><labl level="category">DNK_2019</labl><catStat type="freq">1099</catStat></catgry><catgry><catValu>181</catValu><labl level="category">CHE_2019</labl><catStat type="freq">4211</catStat></catgry><catgry><catValu>127</catValu><labl level="category">PHL_2016</labl><catStat type="freq">1186</catStat></catgry><catgry><catValu>46</catValu><labl level="category">ESP_2000</labl><catStat type="freq">806</catStat></catgry><catgry><catValu>134</catValu><labl level="category">PRT_2005</labl><catStat type="freq">2039</catStat></catgry><catgry><catValu>82</catValu><labl level="category">ISR_2013</labl><catStat type="freq">806</catStat></catgry><catgry><catValu>176</catValu><labl level="category">AUT_2017</labl><catStat type="freq">969</catStat></catgry><catgry><catValu>217</catValu><labl level="category">POL_2019</labl><catStat type="freq">1324</catStat></catgry><catgry><catValu>33</catValu><labl level="category">CZE_2002</labl><catStat type="freq">806</catStat></catgry><catgry><catValu>120</catValu><labl level="category">PER_2000</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>153</catValu><labl level="category">SWE_2002</labl><catStat type="freq">1060</catStat></catgry><catgry><catValu>59</catValu><labl level="category">GBR_2015</labl><catStat type="freq">1247</catStat></catgry><catgry><catValu>143</catValu><labl level="category">RUS_2000</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>184</catValu><labl level="category">CZE_2017</labl><catStat type="freq">860</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+c+uOIPPsE7LX+l81pt/CQ==</notes></var><var ID="v35739940" name="country_name" intrvl="discrete"><location fileid="f10851857"/><labl level="variable">name of country</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GZtKzPE95yqJXb3hNHQBQQ==</notes></var><var ID="v35739939" name="countryandyear_no_underscore" intrvl="discrete"><location fileid="f10851857"/><labl level="variable">identifier for election without underscore, full country name</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jRYpu4zg1ulh8lxu+DEAAA==</notes></var><var ID="v35739942" name="CVscale_VoD_v13" intrvl="contin"><location fileid="f10851857"/><labl level="variable">compulsory voting scale, Varieties of Democracy v13</labl><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.64456806780371</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.2879438697758865</sumStat><sumStat type="vald">296596.0</sumStat><catgry><catValu>0</catValu><labl level="category">voluntary voting</labl><catStat type="freq">242400</catStat></catgry><catgry><catValu>3</catValu><labl level="category">strong compulsory voting</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">weak compulsory voting</labl><catStat type="freq">22989</catStat></catgry><catgry><catValu>2</catValu><labl level="category">medium compulsory voting</labl><catStat type="freq">31207</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rPZE2fxxops9HMMiEv7bzQ==</notes></var><var ID="v35739945" name="educ_scale_0_10" intrvl="contin"><location fileid="f10851857"/><labl level="variable">education constrained to 0 to 10 scale</labl><sumStat type="medn">5.0</sumStat><sumStat type="vald">296596.0</sumStat><sumStat type="mean">5.095686906445021</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.021707036258342</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GRwbTUeP3Q0bpvT40jDdtg==</notes></var><var ID="v35739943" name="female" intrvl="contin"><location fileid="f10851857"/><labl level="variable">1 if female, 0 if male</labl><sumStat type="mean">0.5132975495286412</sumStat><sumStat type="vald">296596.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.49982398650087956</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u2PAwDRu0hxqzAZv0BQDoA==</notes></var><var ID="v35739941" name="income" intrvl="contin"><location fileid="f10851857"/><labl level="variable">household income in quintiles, higher is more</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">296596.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.3904226642687176</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.9508927969358782</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fYGbVnwParVDXRB+HnapLg==</notes></var><var ID="v35739935" name="latin" intrvl="contin"><location fileid="f10851857"/><labl level="variable">1 if R's country is in Latin America</labl><sumStat type="mean">0.1136124560007403</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">296596.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.3173405195970374</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hVoxOFI+e8VzT1XwRNaAHg==</notes></var><var ID="v35739944" name="majoritarian" intrvl="contin"><location fileid="f10851857"/><labl level="variable">1 if majoritarian electoral system for lower house, 0 otherwise</labl><sumStat type="mean">0.21096373518153733</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.40799338088971104</sumStat><sumStat type="vald">296596.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kPd3KBdonPr+tWBedJNv3A==</notes></var><var ID="v35739934" name="resp_id" intrvl="discrete"><location fileid="f10851857"/><labl level="variable">CSES respondent identifier</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xyk8OdpT+F8Wm4+NmK667Q==</notes></var><var ID="v35739946" name="v2x_polyarchy" intrvl="contin"><location fileid="f10851857"/><labl level="variable">V-Dem's electoral democracy index</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.789087378117033</sumStat><sumStat type="min">0.188</sumStat><sumStat type="max">0.921</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.865</sumStat><sumStat type="stdev">0.16290762590655286</sumStat><sumStat type="vald">296596.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gbR5JPdtlyFhYjXReIOCuw==</notes></var><var ID="v35739933" name="voted_main_elec" intrvl="contin"><location fileid="f10851857"/><labl level="variable">1 if R voted in the main (as classified by CSES) election</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.35061165791341364</sumStat><sumStat type="vald">296596.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.8564714291494967</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RmX2luCw3XmniCuPURsRyQ==</notes></var><var ID="v35498075" name="country" intrvl="discrete"><location fileid="f10781203"/><labl level="variable">country</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2rCf1qcjW4vwmB3ApGIUBg==</notes></var><var ID="v35498071" name="countryandyear_no_underscore" intrvl="discrete"><location fileid="f10781203"/><labl level="variable">country and year</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vKrjJ5aakULQwlhKwo8kpg==</notes></var><var ID="v35498070" name="CVscale_VoD_v13" intrvl="contin"><location fileid="f10781203"/><labl level="variable">compulsory voting scale, Varieties of Democracy v13</labl><sumStat type="stdev">0.6534069476745764</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="mean">0.35616438356164365</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">strong compulsory voting</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">voluntary voting</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>2</catValu><labl level="category">medium compulsory voting</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">weak compulsory voting</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QEh3zfynWjreLlXT+8+DZA==</notes></var><var ID="v35498079" name="latin" intrvl="contin"><location fileid="f10781203"/><labl level="variable">1 if R's country is in Latin America</labl><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.4068477776211283</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.20547945205479456</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qsahukwF2jR4bk3WtdyETw==</notes></var><var ID="v35498074" name="majoritarian" intrvl="contin"><location fileid="f10781203"/><labl level="variable">1 if majoritarian electoral system for lower house, 0 otherwise</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.3731881648614997</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">0.16438356164383577</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:P0gq2eQM/p2f2B95SA4A4A==</notes></var><var ID="v35498083" name="mens_overep_min_womens_overrep" intrvl="contin"><location fileid="f10781203"/><labl level="variable">overeeported turnout rate men minus that of women</labl><sumStat type="mean">2.3054794425221337</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.600000023841858</sumStat><sumStat type="stdev">3.52179285668614</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="min">-7.5</sumStat><sumStat type="max">10.699999809265137</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:r7JsdFmtVTjpabeoUVYn2A==</notes></var><var ID="v35498072" name="mens_overeporting" intrvl="contin"><location fileid="f10781203"/><labl level="variable">amount of overreported turnout among men</labl><sumStat type="mean">9.960273990484135</sumStat><sumStat type="stdev">11.201211968735217</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">38.599998474121094</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="min">-28.0</sumStat><sumStat type="medn">8.300000190734863</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Q4okbqLHWIr2YVHPr6X3xw==</notes></var><var ID="v35498082" name="mens_turnout_min_womens_turnout" intrvl="contin"><location fileid="f10781203"/><labl level="variable">actual turnout rate among men minus that of women</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.5342465826909837</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="max">5.5</sumStat><sumStat type="stdev">3.1168992411437553</sumStat><sumStat type="min">-8.300000190734863</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0LFJkv6xO5z8vfgjl+rWiQ==</notes></var><var ID="v35498068" name="percent_men_voting_actual" intrvl="contin"><location fileid="f10781203"/><labl level="variable">actual turnout rate among men</labl><sumStat type="stdev">14.235117787917364</sumStat><sumStat type="mean">69.60547946250603</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">40.5</sumStat><sumStat type="medn">71.19999694824219</sumStat><sumStat type="max">95.5999984741211</sumStat><sumStat type="vald">73.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xTsK6ezDZAuaIyh1g5u74Q==</notes></var><var ID="v35498073" name="percent_men_voting_reported" intrvl="contin"><location fileid="f10781203"/><labl level="variable">reported turnout rate among men</labl><sumStat type="mode">.</sumStat><sumStat type="mean">79.56575310066955</sumStat><sumStat type="medn">82.19999694824219</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="stdev">12.18903447785943</sumStat><sumStat type="max">98.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">31.200000762939453</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UnAyEhR4CI5OLtAL0R/83g==</notes></var><var ID="v35498069" name="percent_women_voting_actual" intrvl="contin"><location fileid="f10781203"/><labl level="variable">actual turnout rate among women</labl><sumStat type="mean">71.13972614236074</sumStat><sumStat type="min">39.70000076293945</sumStat><sumStat type="stdev">13.705298680329175</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="medn">72.4000015258789</sumStat><sumStat type="max">95.9000015258789</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5Ir0ZI7ov3NyptWQ2wJXyg==</notes></var><var ID="v35498077" name="percent_women_voting_reported" intrvl="contin"><location fileid="f10781203"/><labl level="variable">reported turnout rate among women</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">80.80000305175781</sumStat><sumStat type="min">24.600000381469727</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="mean">78.79452057407327</sumStat><sumStat type="max">98.0999984741211</sumStat><sumStat type="stdev">12.968893202726932</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pMr1Er9MfIdIg3kEda3LXA==</notes></var><var ID="v35498078" name="v2x_polyarchy" intrvl="contin"><location fileid="f10781203"/><labl level="variable">V-Dem's electoral democracy index</labl><sumStat type="mode">.</sumStat><sumStat type="medn">0.866</sumStat><sumStat type="mean">0.7873287671232877</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="min">0.277</sumStat><sumStat type="stdev">0.1633960810418897</sumStat><sumStat type="max">0.922</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oW6wZD7Bd1ElPoTP8EHA6w==</notes></var><var ID="v35498080" name="womens_overep_min_mens_overrep" intrvl="contin"><location fileid="f10781203"/><labl level="variable">overeeported turnout rate women minus that of men</labl><sumStat type="mean">-2.3054794425221337</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="max">7.5</sumStat><sumStat type="medn">-1.600000023841858</sumStat><sumStat type="min">-10.699999809265137</sumStat><sumStat type="stdev">3.52179285668614</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:A6JxMWGf4FJRlpIJCJ+xMg==</notes></var><var ID="v35498076" name="womens_overeporting" intrvl="contin"><location fileid="f10781203"/><labl level="variable">amount of overreported turnout among women</labl><sumStat type="min">-32.70000076293945</sumStat><sumStat type="medn">7.199999809265137</sumStat><sumStat type="stdev">11.21941564286272</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="max">33.099998474121094</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">7.654794494787306</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M75VLYm8OE5fak/MomO4rg==</notes></var><var ID="v35498081" name="womens_turnout_min_mens_turnout" intrvl="contin"><location fileid="f10781203"/><labl level="variable">actual turnout rate among women minus that of men</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">8.300000190734863</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">73.0</sumStat><sumStat type="mean">1.5342465826909837</sumStat><sumStat type="min">-5.5</sumStat><sumStat type="stdev">3.1168992411437553</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OpaelBOlb7I7IKkO0MMpng==</notes></var></dataDscr><otherMat ID="f10803734" URI="https://dataverse.harvard.edu/api/access/datafile/10803734" level="datafile"><labl>Codebook.pdf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f10781210" URI="https://dataverse.harvard.edu/api/access/datafile/10781210" level="datafile"><labl>readme.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f10803735" URI="https://dataverse.harvard.edu/api/access/datafile/10803735" level="datafile"><labl>Replication, Main Text.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f10803732" URI="https://dataverse.harvard.edu/api/access/datafile/10803732" level="datafile"><labl>Replication, Supporting Information.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f10781204" URI="https://dataverse.harvard.edu/api/access/datafile/10781204" level="datafile"><labl>TSE.dta</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-14</notes></otherMat></codeBook>