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Replication Data for: Gender Quotas and International Reputation

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Gender Quotas and International Reputation
 
Identifier https://doi.org/10.7910/DVN/93GVWI
 
Creator Bush, Sarah Sunn
Zetterberg, Pär
 
Publisher Harvard Dataverse
 
Description The global spread of electoral gender quotas has been characterized as one of the most significant institutional developments of the last thirty years. Many of the countries that have adopted these laws designed to increase women's political representation are electoral autocracies that have otherwise-stark gender inequalities. Some scholars argue that electoral authoritarian states have adopted quotas as a strategy for improving their international reputations for democracy. This article represents the first exploration of whether quotas really generate reputational boosts. Using large-scale survey experiments in Sweden and the United States concerning hypothetical developing countries, we find that they do. In particular, audiences perceived electoral autocracies as more democratic and were more likely to support giving them foreign aid when women's descriptive representation was greater. Beyond its contribution to our understanding of gender quotas and women's representation, this article contributes to broader debates about international reputation, human rights, and foreign aid attitudes.
 
Subject Social Sciences
Gender quotas
International reputation
Electoral authoritarianism
Women's representation
Economic assistance
Human rights
Democracy promotion
 
Contributor Bush, Sarah
 
Source Gedeshi, Ilir; Rotman, David; Kritzinger, Sylvia; Poghosyan, Gevorg; Pachulia, Merab; Fotev, Georgy; Baloban, Josip; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Wolf, Christof; Pachulia, Merab; Bréchon, Pierre; Voas, David; Rosta, Gergely; Jónsdóttir Guðbjörg A.; Rovati, Giancarlo; Reeskens, Tim; Ziliukaite, Ruta; Jenssen, Anders T.; Marody, Mirosława; Voicu, Bogdan; Strapcová, Katarina; Bešić, Miloš; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle (2019). European Values Study 2017: Integrated Dataset (EVS 2017). GESIS Datenarchiv, Köln. ZA7500 Datenfile Version 2.0.0 (2019), doi:10.4232/1.13314.



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