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Patrick Emmenegger
Title
Prof. Dr.
Last Name
Emmenegger
First name
Patrick
Email
patrick.emmenegger@unisg.ch
Phone
+41 71 224 2332
Homepage
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1 - 10 of 10
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PublicationType: working paperJournal: ETUI Working PaperVolume: 2016Issue: 01
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PublicationReligion and the Gender Vote Gap : Women's Changed Political Preferences from the 1970s to 2010For many years women tended to vote more conservative than men, but since the 1980s this gap has shifted direction: women in many countries are more likely than men to support left parties. The literature largely agrees on a set of political-economic factors explaining the change in women's political orientation. In this article we demonstrate that these conventional factors fall short in explaining the gender vote gap. We highlight the importance of a religious cleavage in the party system across Western European countries, restricting the free flow of religious voters between left and right parties. Given that surveys show us a constantly higher degree of religiosity among women and a persistent impact of religion on vote choice, religion explains a substantial part of the temporal as well as cross-country variation in the transition from the more conservative to the more progressive voting behavior of women.Type: working paperJournal: ZeS working paper 1/2012Volume: 42Issue: 2
Scopus© Citations 45 -
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PublicationType: working paperJournal: COMPASS working paper no. 2014-79
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PublicationHow Good are your Counterfactuals? Assessing Quantitative Macro-Comparative Welfare State Research with Qualitative CriteriaAbstract: All causal statements based on historical data - both in qualitative and quantitative social research - rely on counterfactuals. In quantitative research, scholars attempt to arrive at valid counterfactuals by emulating an experimental design. However, because of treatments that are impossible to manipulate and the non-random assignment of data to treatment and control groups, causal statements are often based on invalid counterfactuals. In qualitative research, scholars attempt to arrive at valid counterfactuals by probing the historical and logical consistency of counterfactuals and by acknowledging the interconnectedness of events. Criteria to evaluate counterfactuals have been developed that allow for a discussion of the quality of counterfactuals used in causal statements. In this article, we suggest using these qualitative criteria to evaluate counterfactuals in quantitative macro-comparative welfare state research. We argue that these criteria can help us identify erroneous causal inferences in quantitative research based on historical data.
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PublicationType: working paperJournal: COMPASSS working paper No. 2010-60
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PublicationType: working paper