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Replication Data for: Simulating Counterfactual Representation

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

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Title Replication Data for: Simulating Counterfactual Representation
 
Identifier https://doi.org/10.7910/DVN/54JC6M
 
Creator Eggers, Andrew
Lauderdale, Benjamin
 
Publisher Harvard Dataverse
 
Description Data and R scripts for counterfactual simulations of representation in the US House and UK House of Commons. Article abstract: We show how to use multilevel modeling and post-stratification to estimate legislative outcomes under counterfactual representation schemes that e.g. boost the representation of women or translate votes into seats differently. We apply this technique to two research questions: (1) Would the U.S. Congress be less polarized if state delegations were formed according to the principle of party proportional representation? (2) Would there have been stronger support for legalizing same-sex marriage in the U.K. House of Commons if Parliament more closely reflected the population in gender and age?
 
Subject Social Sciences
 
Contributor Lauderdale, Benjamin