FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Insights from the Field

What If Legislatures Looked Different? Simulating Counterfactual Representation


MRP
post-stratification
proportional representation
polarization
same-sex marriage
Methodology
Pol. An.
1 Text
1 Archives
Dataverse
Simulating Counterfactual Representation was authored by Andrew Eggers and Benjamin Lauderdale. It was published by Cambridge in Pol. An. in 2016.

๐Ÿ”ฌ How counterfactual representation is simulated

This approach uses multilevel modeling and post-stratification to estimate how legislative outcomes would change under alternative representation rules. The method can simulate scenarios that, for example, boost the share of women in a legislature or change how votes translate into seats.

๐Ÿ“Š How outcomes are estimated

  • Multilevel modeling and post-stratification (MRP/post-strat) are combined to produce estimates of legislatorsโ€™ preferences and roll-call outcomes under different representation rules.
  • Counterfactual schemes considered include altering the demographic composition of delegations and converting votes into seats by party-proportional rules.

๐Ÿ“Œ Applied questions

The technique is applied to two illustrative questions:

  • Would the U.S. Congress be less polarized if state delegations were formed according to the principle of party proportional representation?
  • 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?

๐Ÿ’ก Why this matters

  • Provides a practical toolkit for estimating the legislative consequences of alternative representation designs without needing real-world reform.
  • Enables direct comparison of institutional changes (seat allocation rules) and descriptive representation changes (gender and age composition) on policy-related outcomes.

๐Ÿ“Ž What readers can expect

  • A clear description of the modeling and post-stratification workflow used to generate counterfactual legislatures.
  • Concrete applications showing how the method addresses questions about polarization and substantive representation in two well-known democracies.
data
Find on Google Scholar
Find on JSTOR
Find on CUP
Political Analysis
Podcast host Ryan