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Bringing in the New Votes: Turnout of Women after Enfranchisement

Published online by Cambridge University Press:  06 June 2023

MONA MORGAN-COLLINS*
Affiliation:
King’s College London, United Kingdom
*
Mona Morgan-Collins, Assistant Professor in Gender and Political Economy, Department of Political Economy, King’s College London, United Kingdom, mona.morgan-collins@kcl.ac.uk
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Abstract

Under what conditions did newly enfranchised women turn out to vote at levels approaching men? This question is important because if women’s turnout lagged behind men’s, politicians’ incentives to advocate for women’s interests could remain weak even after suffrage. I argue that women’s turnout approached parity with men’s in localities with strong incentives to vote and to mobilize among the general population. This is because women faced barriers to voting and were, therefore, more likely to vote and be mobilized under the most favorable circumstances. I then propose that electoral competition determines the strength of voting and mobilization incentives and, therefore, the gender turnout gap. Using sex-separated turnout data in Norway, I demonstrate that the gap narrows in high-turnout competitive districts in systems with single-member districts and in high-turnout within-district strongholds in proportional systems. I probe generalizability of my findings in New Zealand, Austria, and Sweden.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. When Do Newly Enfranchised Women Vote More Relative to Men?Note: m(w) median cost of voting for men(women).

Figure 1

Figure 2. Gender Gap Plotted against Men’s Turnout 1909–27 in NorwayNote: Plotting gender turnout gap against men’s turnout; Lowess fit in gray; unit of analysis is district in SMDs and within-district municipality in PR.

Figure 2

Figure 3. The Cross-Sectional Effect of District Margin on Turnout in Norway 1909–18Note: 95% CIs; DV is men’s turnout (black), women’s turnout (dark gray), and gender turnout gap (light gray); robust standard errors. Full results are in Supplementary Table A2.

Figure 3

Figure 4. The Cross-Sectional Effect of Within-District Concentration on Turnout Measures in Norway 1921–27Note: 95% CIs; DV is men’s turnout (black), women’s turnout (dark gray), and gender turnout gap (light gray); district fixed effects; clustered standard errors on district. Full results are in Supplementary Table A3.

Figure 4

Figure 5. Fixed Effect Models, Norway 1909–27Note: 95% CIs; DV is men’s turnout (black), women’s turnout (dark gray), and gender turnout gap (light gray). Panel (a): unit of analysis is electoral district; robust standard errors; all models include election and district fixed effects. Panel (b): unit of analysis is a within-district municipality; standard errors clustered at the district level; all models include election and municipality fixed effects. Full results are in Supplementary Table A7.

Figure 5

Figure 6. The Effect of Margin on Change in Turnout 1921–18 by SexNote: Panel (a) plots the percentage point change in pre-reform district women’s (gray) and men’s (black) turnout before and after PR against pre-reform district margin; linear fit; Panel (b) regresses the change in women’s (gray) and men’s (black) turnout and gender gap (light gray) before and after PR on pre-reform district margin; OLS estimates; 95% CIs; standard errors clustered on post-reform PR districts. Full results are in Supplementary Table A12.

Figure 6

Figure 7. Marginal Effects of Pre-Reform Margin Conditional on Men’s Turnout and Change in Men’s TurnoutNote: Slopes refer to 0.25 (95th pctl), 0.1 (75th pctl), and−0.08 (5th pctl) of the change in men’s turnout before and after the reform; OLS estimates; standard errors clustered on post-reform PR districts. Full results are in Model 1 in Supplementary Table A14.

Figure 7

Figure 8. Correlates of Women’s and Men’s Turnout in Three Additional CountriesNote: 95% CIs; DV is men’s turnout (black), women’s turnout (dark gray), and gender gap (light gray); robust standard errors in SMDs; district fixed effects and clustered standard errors on district in PR; wild bootstrap returns similar p-values ($ p<0.01 $). Full results are in Supplementary Table A18.

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Morgan-Collins Dataset

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