10.7910/DVN/PL2XFD Dassonneville, Ruth Ruth Dassonneville Université de Montréal McAllister, Ian Ian McAllister Australian National University Harvard Dataverse 2017 Social Sciences Gender gap Political knowledge Descriptive representation Political socialization Dassonneville, Ruth Ruth Dassonneville Dassonneville, Ruth Ruth Dassonneville 2017-10-08 2017-11-29 2019-06-26 10.1111/AJPS.12353 10.7910/DVN/PL2XFD/ZXJKPZ 10.7910/DVN/PL2XFD/D3RHSX 10.7910/DVN/PL2XFD/XWQTXC 10.7910/DVN/PL2XFD/39IV6K 10.7910/DVN/PL2XFD/463BOY 10.7910/DVN/PL2XFD/DDWOMG 10.7910/DVN/PL2XFD/WWRXK4 10.7910/DVN/PL2XFD/BTAA4B 10.7910/DVN/PL2XFD/XLVFOU 10.7910/DVN/PL2XFD/8CVKIZ 10.7910/DVN/PL2XFD/IQTPUG 10.7910/DVN/PL2XFD/64ATHJ 10.7910/DVN/PL2XFD/D2EU2P 10.7910/DVN/PL2XFD/MZMZQ4 10.7910/DVN/PL2XFD/0ODBML 10.7910/DVN/PL2XFD/VGVOMX 10.7910/DVN/PL2XFD/XXQ47R 10.7910/DVN/PL2XFD/QCNWAS 10.7910/DVN/PL2XFD/V4DSRF 10.7910/DVN/PL2XFD/LXJKMK 10.7910/DVN/PL2XFD/ENRFVR 10.7910/DVN/PL2XFD/UXXNBA 10.7910/DVN/PL2XFD/AJD2ZK 10.7910/DVN/PL2XFD/7G5NZF 11394 11405 104803646 19448 227063 96847 4026 37909060 393918 32547784 1587 86856 54228462 193597 666 115663820 71688846 5478794 541390 2841 71091 96998 70131 5212 application/x-stata-syntax text/tab-separated-values text/tab-separated-values application/x-stata-syntax text/tab-separated-values text/tab-separated-values application/x-stata-syntax text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values application/pdf application/pdf application/x-stata-syntax text/plain 1.1 Custom terms specific to this dataset Successive studies have found a persistent gender gap in political knowledge. Despite much international research, this gap has remained largely impervious to explanation. A promising line of recent enquiry has been the low levels of women’s elected representation in many democracies. We test the hypothesis that higher levels of women’s elected representation will increase women’s political knowledge. Using two large, comparative datasets, we find that the proportion of women elected representatives at the time of the survey has no significant effect on the gender gap. By contrast, there is a strong and significant long-term impact for descriptive representation when respondents were aged 18 to 21. The results are line with political socialization, which posits that the impact of political context is greatest during adolescence and early adulthood. These findings have important implications for explaining the gender knowledge gap, but also for the impact of descriptive representation on political engagement generally. This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. <br></br> The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the <a href="https://osf.io/tvyxz/wiki/home/" target="_blank">Center for Open Science</a>.<br></br> <img src="http://www.odum.unc.edu/archive/cos_open_data.png" alt="Open Data Badge" height="77" width="80"> <img src="http://www.odum.unc.edu/archive/cos_open_materials.png" alt="Open Materials Badge" height="77" width="80">