Replication Data for: Compulsory Voting Increases Men's Turnout Most (doi:10.7910/DVN/C0VFMH)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication Data for: Compulsory Voting Increases Men's Turnout Most

Identification Number:

doi:10.7910/DVN/C0VFMH

Distributor:

Harvard Dataverse

Date of Distribution:

2025-01-30

Version:

1

Bibliographic Citation:

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]

Study Description

Citation

Title:

Replication Data for: Compulsory Voting Increases Men's Turnout Most

Identification Number:

doi:10.7910/DVN/C0VFMH

Authoring Entity:

Singh, Shane (University of Georgia)

Producer:

Shane Singh

Distributor:

Harvard Dataverse

Access Authority:

Shane Singh

Depositor:

Singh, Shane

Date of Deposit:

2024-12-02

Holdings Information:

https://doi.org/10.7910/DVN/C0VFMH

Study Scope

Keywords:

Social Sciences, compulsory voting

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.

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. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge

Methodology and Processing

Sources Statement

Data Sources:

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.

<br></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.

<br></br> Brazilian Electoral Study. 2018. CESOP-IBOPE. Survey study no. 04622. https://www.cesop.unicamp.br/eng/banco_de_dados/v/4538

<br></br> Brazilian Electoral Study. 2022. CESOP-QUAEST. Survey study no. 04810. https://www.cesop.unicamp.br/eng/banco_de_dados/v/4680

<br></br> Superior Electoral Court (Tribunal Superior Eleitoral) of Brazil.

<br></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

<br></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

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

<br></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

<br></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

<br></br> Singh, Shane P. 2022. “2022 Compulsory Voting and Turnout in Brazil Survey Experiment.” Athens, GA: University of Georgia.

Data Access

Disclaimer:

The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

Other Study Description Materials

Related Publications

Citation

Title:

Singh, Shane P. “Compulsory Voting Increases Men’s Turnout Most. American Journal of Political Science.

Bibliographic Citation:

Singh, Shane P. “Compulsory Voting Increases Men’s Turnout Most. American Journal of Political Science.

File Description--f10781199

File: BES.tab

  • Number of cases: 323

  • No. of variables per record: 9

  • Type of File: text/tab-separated-values

Notes:

UNF:6:rSn2wweDew1Z6IkWHRrB2Q==

File Description--f10781202

File: Brazil_Survey_Experiment.tab

  • Number of cases: 1055

  • No. of variables per record: 8

  • Type of File: text/tab-separated-values

Notes:

UNF:6:Ie5C/7ALqm1w4wI34CZOTw==

File Description--f10851857

File: CSES_Modules_1-5.tab

  • Number of cases: 296596

  • No. of variables per record: 14

  • Type of File: text/tab-separated-values

Notes:

UNF:6:a8psFwkDBqs+3HzPLvtTMg==

File Description--f10781203

File: Stockemer_Sundstrom_BJPIR.tab

  • Number of cases: 73

  • No. of variables per record: 16

  • Type of File: text/tab-separated-values

Notes:

UNF:6:uwppAK+vOSoR7ayl40dmGQ==

Variable Description

List of Variables:

Variables

1 if 18 or over on day of first round election

f10781199 Location:

Summary Statistics: Max. 1.0; Valid 323.0; Min. 0.0; StDev 0.3844215599741208; Mean 0.8204334365325078;

Variable Format: numeric

Notes: UNF:6:fw2XAT4V83Jxbmb5JyAIeA==

days over age 18 on day of first round election

f10781199 Location:

Summary Statistics: StDev 436.80288239851365; Min. -762.0; Valid 323.0; Mean 386.19195046439626; Max. 1089.0

Variable Format: numeric

Notes: UNF:6:9vGqb8fT28rv3zCdK9jzLA==

education on ten-point scale, bounded between 0 and 1

f10781199 Location:

Summary Statistics: Min. 0.111111119389534; Mean 0.6216030079790682; Valid 323.0; Max. 0.888888955116272; StDev 0.12474496000029676

Variable Format: numeric

Notes: UNF:6:f+eWceM/GQi4pVYEmX+Gag==

1 if female

f10781199 Location:

Summary Statistics: Max. 1.0; Valid 323.0; Mean 0.51702786377709; StDev 0.5004853133815615; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:2LGF7BeEzPPD/j1jUzM7zg==

household income, higher is more, bounded between 0 and 1

f10781199 Location:

Summary Statistics: Mean 0.04547193532122707; StDev 0.1072854102042213; Min. 0.0020032781176269054; Valid 221.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:N6Lkk8lMlPz9Rq5cX9Snrw==

religiosity on six-point scale, bounded between 0 and 1

f10781199 Location:

Summary Statistics: Min. 0.0; Valid 322.0; StDev 0.3501541427278107; Mean 0.4714285783608509; Max. 1.0

Variable Format: numeric

Notes: UNF:6:ngdXS1CHAx49Z4bS5CSHWw==

1 if R reported voting

f10781199 Location:

Summary Statistics: Mean 0.7430340557275541; StDev 0.4376384488137241; Min. 0.0; Valid 323.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:oWARcfqheO4ODPuMcWDmmg==

1 if white

f10781199 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.29430379746835444; Valid 316.0; StDev 0.4564519719008781

Variable Format: numeric

Notes: UNF:6:X5mDl7CdoWy+qj6aKYRgLw==

survey year

f10781199 Location:

Summary Statistics: Valid 323.0; StDev 1.9541107772768214; Mean 2019.5603715170278; Max. 2022.0; Min. 2018.0

Variable Format: numeric

Notes: UNF:6:nClnKDe/nfjv9xGEzDCttw==

age in years

f10781202 Location:

Summary Statistics: Max. 79.0; Mean 38.33802816901409; Min. 18.0; Valid 994.0; StDev 11.77048139033971

Variable Format: numeric

Notes: UNF:6:/fYpxjc9txVcFCJRIa2jhg==

1 if R was in CV condition; 0 otherwise

f10781202 Location:

Summary Statistics: Min. 0.0; Mean 0.5005917159763313; Max. 1.0; Valid 845.0; StDev 0.5002957705079764

Variable Format: numeric

Notes: UNF:6:nB4o7kiOLvS8Bkfd+BfGYQ==

years of education

f10781202 Location:

Summary Statistics: Mean 14.57184466019417; Min. 0.0; Valid 1030.0; StDev 6.184260366684149; Max. 55.0;

Variable Format: numeric

Notes: UNF:6:3Di3IC8LvZ7jAnYonAuYhA==

1 if R passed the treatment-relevant instructional manipulation check

f10781202 Location:

Summary Statistics: Max. 1.0; Mean 0.7408284023668639; Min. 0.0; StDev 0.4384394721695723; Valid 845.0

Variable Format: numeric

Notes: UNF:6:t3PJjJTk27R/zD2nNMunnw==

gender

f10781202 Location:

Value

Label

Frequency

Text

1.

man

439

2.

woman

611

3.

refuse/other

5

Summary Statistics: StDev 0.5018594524073401; Min. 1.0; Mean 1.5886255924170616; Valid 1055.0; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:tGdW1YD7+4afcZtRh5hwkw==

1 if R passed the instructional manipulation check

f10781202 Location:

Summary Statistics: Valid 1042.0; Max. 1.0; Mean 0.8109404990403071; StDev 0.3917439006290448; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Y3brO9JHXc25AiQCCRTotA==

level of income, from none (1) to over R$200,000/year (10)

f10781202 Location:

Summary Statistics: Max. 10.0; Mean 6.017578125; Valid 1024.0; Min. 1.0; StDev 1.8416500935857227

Variable Format: numeric

Notes: UNF:6:dAvHiSA0bxIFLTSNBuZs0A==

1 if R reported turnout in 2022 election

f10781202 Location:

Summary Statistics: StDev 0.3522405322590122; Max. 1.0; Valid 828.0; Min. 0.0; Mean 0.8550724637681159

Variable Format: numeric

Notes: UNF:6:4DVr4E3cMOCVcmPNKzBnCQ==

age in years

f10851857 Location:

Summary Statistics: Max. 120.0; Min. 16.0; StDev 16.78712471542341; Valid 296596.0; Mean 47.296979730002434;

Variable Format: numeric

Notes: UNF:6:O8i/HqxuCMoZc8l1w4h4sA==

identifier for election

f10851857 Location:

Variable Format: character

Notes: UNF:6:NDELmpvemFvpK3poq9b+Aw==

numerical identifier for election

f10851857 Location:

Value

Label

Frequency

Text

47.

ESP_2004

757

114.

NOR_2013

1495

84.

JPN_1996

937

66.

HKG_2008

545

3.

AUS_1996

1508

25.

CHE_1999

1769

163.

TWN_2004

1374

177.

BELF2019

930

225.

TUR_2018

931

94.

LTU_1997

896

182.

CHL_2017

1606

106.

NLD_1998

1639

27.

CHE_2007

2733

172.

ZAF_2009

0

126.

PHL_2010

1141

105.

MNE_2012

625

26.

CHE_2003

1264

53.

FIN_2015

1246

98.

MEX_1997

1842

109.

NLD_2010

2005

13.

BGR_2014

576

212.

NLD_2021

2945

220.

SLV_2019

1222

77.

ISL_2009

1041

9.

BELF1999

1952

229.

USA_2016

3085

73.

IRL_2011

1255

154.

SWE_2006

1127

11.

BEL_2003

0

215.

NZL_2020

1477

147.

SVK_2016

530

189.

FIN_2019

745

69.

HUN_1998

1396

32.

CZE_1996

1125

95.

LVA_2010

0

58.

GBR_2005

762

67.

HKG_2012

739

24.

CAN_2015

1932

22.

CAN_2008

3204

19.

BRA_2014

2075

16.

BRA_2002

1878

60.

GRC_2009

704

64.

HKG_2000

487

79.

ISR_1996

651

49.

EST_2011

812

86.

JPN_2007

944

167.

URY_2009

0

39.

DEU_2005

1883

112.

NOR_2005

1820

139.

ROU_2009

1041

133.

PRT_2002

796

55.

FRA_2007

1855

83.

ITA_2006

635

180.

CAN_2019

2251

208.

LVA_2018

839

150.

SVN_2008

548

155.

SWE_2014

830

144.

RUS_2004

1247

218.

PRT_2019

664

168.

USA_1996

1401

146.

SVK_2010

759

68.

HRV_2007

816

195.

GRC_2019

979

12.

BGR_2001

1375

161.

TWN_1996

950

173.

ZAF_2014

587

137.

ROU_1996

1080

89.

KGZ_2005

0

4.

AUS_2004

1386

56.

FRA_2012

1847

190.

FRA_2017

1622

76.

ISL_2007

1160

17.

BRA_2006

440

149.

SVN_2004

519

166.

UKR_1998

1047

23.

CAN_2011

1662

21.

CAN_2004

1516

207.

LTU_2020

1539

186.

DEU_2017

1671

45.

ESP_1996

842

72.

IRL_2007

888

158.

THA_2011

1231

117.

NZL_2008

779

142.

RUS_1999

1573

224.

TUN_2019

1222

113.

NOR_2009

1586

104.

MEX_2015

715

71.

IRL_2002

2060

43.

DNK_2001

1836

192.

GBR_2019

1831

136.

PRT_2015

757

174.

ALB_2017

1099

230.

USA_2020

6555

48.

ESP_2008

746

6.

AUS_2013

3553

160.

TUR_2015

924

205.

KOR_2016

1199

103.

MEX_2012

1866

214.

NZL_2017

1465

15.

BLR_2008

967

44.

DNK_2007

880

162.

TWN_2001

1483

5.

AUS_2007

1135

108.

NLD_2006

2180

138.

ROU_2004

1470

156.

THA_2001

0

206.

LTU_2016

1170

191.

GBR_2017

838

171.

USA_2012

1547

194.

GRC_2015b

862

227.

TWN_2020

1465

88.

KEN_2013

692

42.

DNK_1998

1724

38.

DEU_2002

2566

78.

ISL_2013

1049

29.

CHL_1999

1031

96.

LVA_2011

686

201.

ISL_2017

1437

54.

FRA_2002

938

41.

DEU_2013

1590

170.

USA_2008

1432

145.

SRB_2012

1156

179.

BRA_2018

1803

61.

GRC_2012

780

130.

POL_2005

1618

52.

FIN_2011

1151

80.

ISR_2003

647

211.

NLD_2017

0

221.

SVK_2020

682

102.

MEX_2009

2042

34.

CZE_2006

1476

210.

MNE_2016

988

74.

ISL_1999

1212

2.

ARG_2015

868

35.

CZE_2010

1286

131.

POL_2007

1566

164.

TWN_2008

1513

40.

DEU_2009

1764

129.

POL_2001

1496

10.

BELW1999

1277

99.

MEX_2000

1164

101.

MEX_2006

1348

119.

NZL_2014

947

125.

PHL_2004

1105

213.

NOR_2017

1617

199.

IRL_2016

888

209.

MEX_2018

842

123.

PER_2011

1505

92.

KOR_2008

816

28.

CHE_2011

3738

107.

NLD_2002

1382

36.

CZE_2013

1134

31.

CHL_2009

1029

93.

KOR_2012

0

157.

THA_2007

1652

193.

GRC_2015a

839

118.

NZL_2011

1072

197.

HUN_2018

946

175.

AUS_2019

0

135.

PRT_2009

812

152.

SWE_1998

1028

140.

ROU_2012

1375

178.

BELW2019

615

51.

FIN_2007

1281

90.

KOR_2000

1100

121.

PER_2001

0

165.

TWN_2012

1455

132.

POL_2011

1426

57.

GBR_1997

2552

183.

CRI_2018

693

81.

ISR_2006

617

50.

FIN_2003

1105

91.

KOR_2004

1161

70.

HUN_2002

1011

222.

SWE_2018

3141

216.

PER_2021

1006

115.

NZL_1996

3825

124.

PER_2016

1485

204.

JPN_2017

1297

30.

CHL_2005

1025

8.

AUT_2013

849

111.

NOR_2001

1853

223.

THA_2019

994

159.

TUR_2011

955

169.

USA_2004

946

65.

HKG_2004

442

14.

BLR_2001

874

100.

MEX_2003

1587

203.

ITA_2018

1570

116.

NZL_2002

1268

185.

CZE_2021

897

97.

LVA_2014

841

87.

JPN_2013

1615

198.

IND_2019

11749

1.

ALB_2005

1042

202.

ISR_2020

674

122.

PER_2006

1799

20.

CAN_1997

1684

187.

DEU_2021

2481

85.

JPN_2004

1293

196.

HKG_2016

715

37.

DEU_1998

1751

219.

ROU_2016

746

151.

SVN_2011

596

110.

NOR_1997

1934

228.

URY_2019

1003

226.

TWN_2016

1355

200.

ISL_2016

812

128.

POL_1997

1809

63.

HKG_1998

784

75.

ISL_2003

1031

7.

AUT_2008

916

141.

ROU_2014

642

18.

BRA_2010

1823

62.

GRC_2015

0

148.

SVN_1996

953

188.

DNK_2019

1099

181.

CHE_2019

4211

127.

PHL_2016

1186

46.

ESP_2000

806

134.

PRT_2005

2039

82.

ISR_2013

806

176.

AUT_2017

969

217.

POL_2019

1324

33.

CZE_2002

806

120.

PER_2000

0

153.

SWE_2002

1060

59.

GBR_2015

1247

143.

RUS_2000

0

184.

CZE_2017

860

Summary Statistics: Max. 230.0; StDev 70.42082448305366; Mean 118.13923316581028; Min. 1.0; Valid 296596.0

Variable Format: numeric

Notes: UNF:6:+c+uOIPPsE7LX+l81pt/CQ==

name of country

f10851857 Location:

Variable Format: character

Notes: UNF:6:GZtKzPE95yqJXb3hNHQBQQ==

identifier for election without underscore, full country name

f10851857 Location:

Variable Format: character

Notes: UNF:6:jRYpu4zg1ulh8lxu+DEAAA==

compulsory voting scale, Varieties of Democracy v13

f10851857 Location:

Value

Label

Frequency

Text

0.

voluntary voting

242400

3.

strong compulsory voting

0

1.

weak compulsory voting

22989

2.

medium compulsory voting

31207

Summary Statistics: Max. 2.0; Min. 0.0; StDev 0.64456806780371; Mean 0.2879438697758865; Valid 296596.0

Variable Format: numeric

Notes: UNF:6:rPZE2fxxops9HMMiEv7bzQ==

education constrained to 0 to 10 scale

f10851857 Location:

Summary Statistics: Valid 296596.0; Mean 5.095686906445021; Min. 0.0; Max. 10.0; StDev 3.021707036258342

Variable Format: numeric

Notes: UNF:6:GRwbTUeP3Q0bpvT40jDdtg==

1 if female, 0 if male

f10851857 Location:

Summary Statistics: Mean 0.5132975495286412; Valid 296596.0; Min. 0.0; Max. 1.0; StDev 0.49982398650087956

Variable Format: numeric

Notes: UNF:6:u2PAwDRu0hxqzAZv0BQDoA==

household income in quintiles, higher is more

f10851857 Location:

Summary Statistics: Valid 296596.0; Max. 5.0; Min. 1.0; StDev 1.3904226642687176; Mean 2.9508927969358782

Variable Format: numeric

Notes: UNF:6:fYGbVnwParVDXRB+HnapLg==

1 if R's country is in Latin America

f10851857 Location:

Summary Statistics: Mean 0.1136124560007403; Max. 1.0; Valid 296596.0; Min. 0.0; StDev 0.3173405195970374

Variable Format: numeric

Notes: UNF:6:hVoxOFI+e8VzT1XwRNaAHg==

1 if majoritarian electoral system for lower house, 0 otherwise

f10851857 Location:

Summary Statistics: Mean 0.21096373518153733; Min. 0.0; Max. 1.0; StDev 0.40799338088971104; Valid 296596.0

Variable Format: numeric

Notes: UNF:6:kPd3KBdonPr+tWBedJNv3A==

CSES respondent identifier

f10851857 Location:

Variable Format: character

Notes: UNF:6:Xyk8OdpT+F8Wm4+NmK667Q==

V-Dem's electoral democracy index

f10851857 Location:

Summary Statistics: Mean 0.789087378117033; Min. 0.188; Max. 0.921; StDev 0.16290762590655286; Valid 296596.0

Variable Format: numeric

Notes: UNF:6:gbR5JPdtlyFhYjXReIOCuw==

1 if R voted in the main (as classified by CSES) election

f10851857 Location:

Summary Statistics: StDev 0.35061165791341364; Valid 296596.0; Min. 0.0; Mean 0.8564714291494967; Max. 1.0

Variable Format: numeric

Notes: UNF:6:RmX2luCw3XmniCuPURsRyQ==

country

f10781203 Location:

Variable Format: character

Notes: UNF:6:2rCf1qcjW4vwmB3ApGIUBg==

country and year

f10781203 Location:

Variable Format: character

Notes: UNF:6:vKrjJ5aakULQwlhKwo8kpg==

compulsory voting scale, Varieties of Democracy v13

f10781203 Location:

Value

Label

Frequency

Text

3.

strong compulsory voting

0

0.

voluntary voting

54

2.

medium compulsory voting

7

1.

weak compulsory voting

12

Summary Statistics: StDev 0.6534069476745764; Max. 2.0; Valid 73.0; Mean 0.35616438356164365; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:QEh3zfynWjreLlXT+8+DZA==

1 if R's country is in Latin America

f10781203 Location:

Summary Statistics: Min. 0.0; StDev 0.4068477776211283; Valid 73.0; Max. 1.0; Mean 0.20547945205479456;

Variable Format: numeric

Notes: UNF:6:qsahukwF2jR4bk3WtdyETw==

1 if majoritarian electoral system for lower house, 0 otherwise

f10781203 Location:

Summary Statistics: StDev 0.3731881648614997; Max. 1.0; Valid 73.0; Min. 0.0; Mean 0.16438356164383577

Variable Format: numeric

Notes: UNF:6:P0gq2eQM/p2f2B95SA4A4A==

overeeported turnout rate men minus that of women

f10781203 Location:

Summary Statistics: Mean 2.3054794425221337; StDev 3.52179285668614; Valid 73.0; Min. -7.5; Max. 10.699999809265137

Variable Format: numeric

Notes: UNF:6:r7JsdFmtVTjpabeoUVYn2A==

amount of overreported turnout among men

f10781203 Location:

Summary Statistics: Mean 9.960273990484135; StDev 11.201211968735217; Max. 38.599998474121094; Valid 73.0; Min. -28.0;

Variable Format: numeric

Notes: UNF:6:Q4okbqLHWIr2YVHPr6X3xw==

actual turnout rate among men minus that of women

f10781203 Location:

Summary Statistics: Mean -1.5342465826909837; Valid 73.0; Max. 5.5; StDev 3.1168992411437553; Min. -8.300000190734863

Variable Format: numeric

Notes: UNF:6:0LFJkv6xO5z8vfgjl+rWiQ==

actual turnout rate among men

f10781203 Location:

Summary Statistics: StDev 14.235117787917364; Mean 69.60547946250603; Min. 40.5; Max. 95.5999984741211; Valid 73.0

Variable Format: numeric

Notes: UNF:6:xTsK6ezDZAuaIyh1g5u74Q==

reported turnout rate among men

f10781203 Location:

Summary Statistics: Mean 79.56575310066955; Valid 73.0; StDev 12.18903447785943; Max. 98.0; Min. 31.200000762939453

Variable Format: numeric

Notes: UNF:6:UnAyEhR4CI5OLtAL0R/83g==

actual turnout rate among women

f10781203 Location:

Summary Statistics: Mean 71.13972614236074; Min. 39.70000076293945; StDev 13.705298680329175; Valid 73.0; Max. 95.9000015258789

Variable Format: numeric

Notes: UNF:6:5Ir0ZI7ov3NyptWQ2wJXyg==

reported turnout rate among women

f10781203 Location:

Summary Statistics: Min. 24.600000381469727; Valid 73.0; Mean 78.79452057407327; Max. 98.0999984741211; StDev 12.968893202726932;

Variable Format: numeric

Notes: UNF:6:pMr1Er9MfIdIg3kEda3LXA==

V-Dem's electoral democracy index

f10781203 Location:

Summary Statistics: Mean 0.7873287671232877; Valid 73.0; Min. 0.277; StDev 0.1633960810418897; Max. 0.922

Variable Format: numeric

Notes: UNF:6:oW6wZD7Bd1ElPoTP8EHA6w==

overeeported turnout rate women minus that of men

f10781203 Location:

Summary Statistics: Mean -2.3054794425221337; Valid 73.0; Max. 7.5; Min. -10.699999809265137; StDev 3.52179285668614;

Variable Format: numeric

Notes: UNF:6:A6JxMWGf4FJRlpIJCJ+xMg==

amount of overreported turnout among women

f10781203 Location:

Summary Statistics: Min. -32.70000076293945; StDev 11.21941564286272; Valid 73.0; Max. 33.099998474121094; Mean 7.654794494787306

Variable Format: numeric

Notes: UNF:6:M75VLYm8OE5fak/MomO4rg==

actual turnout rate among women minus that of men

f10781203 Location:

Summary Statistics: Max. 8.300000190734863; Valid 73.0; Mean 1.5342465826909837; Min. -5.5; StDev 3.1168992411437553

Variable Format: numeric

Notes: UNF:6:OpaelBOlb7I7IKkO0MMpng==

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Notes:

application/pdf

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readme.txt

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