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Using novel computational tools and a comprehensive and updated dataset on electoral systems, this book develops precise and transparent measures of both electoral systems' interparty and intraparty incentives.
List of contents
- List of Figures
- List of Tables
- List of Abbreviations
- Part I The Rules of the Game
- 1: Party Politics
- 2: Electoral Rules
- 3: Electoral Systems
- Part II Incentives in the I-I Space
- 4: Simulating the Effect of Electoral System Incentives
- 5: Component Rules and Interparty and Intraparty Incentives
- 6: Placing "Real-World" Electoral Systems in the I-I Space
- Part III Interparty Politics
- 7: The Size of the Party System
- 8: The Distribution of Partisan Ideological Locations
- 9: Congruence
- Part IV Intraparty Politics
- 10: Campaigns for Office
- 11: Constituency Service
- 12: Committee Systems and Assignments
- 13: Party Unity
- 14: Programmatic Policy or Pork Barrel
- Part V Conclusion
- 15: Electing to Simulate
- Appendices
- Appendix A: Examples of Seat Allocation Formulas in Proportional Representation Systems
- Appendix B: Alternative Electoral System Names
- Appendix C: Gradient-Boosted Machine Models: The Fine Print
- C.1: Predicting {tde
- C.2: Predicting {ap
- C.3: Coding real electoral systems
- Appendix D: Measures of Unity Based on Network Eigendecomposition
- Appendix E: Data Sources
- Bibliography
- Index
About the author
Brian F. Crisp is Professor Emeritus in the Department of Political Science at Washington University in St. Louis. His work on electoral systems, legislative politics, interbranch relations, and policy choices has been published in
The American Journal of Political Science, The American Political Science Review, The Journal of Politics, and elsewhere.
Patrick Cunha Silva is Assistant Professor in the Department of Political Science at Loyola University Chicago. His research interests focus on representation and electoral politics. His work has been published in
The Journal of Politics, British Journal of Political Science, and
Political Behavior, among others.
Santiago Olivella is an Associate Professor in Political Science and of Data Science and Society at the University of North Carolina at Chapel Hill. Olivella has published work in a variety of journals, including the
Journal of the American Statistical Association, Political Analysis, and
Electoral Studies, and has contributed open-source software for quantitative research.
Guillermo Rosas is Professor in the Department of Political Science at Washington University in St. Louis. His research focuses on the economic consequences of political regimes and on the effects of political institutions on political elite behavior, especially in Latin America, and has appeared in the
American Journal of Political Science, the Journal of Politics, and
Comparative Political Studies, among others.
Summary
Using novel computational tools and a comprehensive and updated dataset on electoral systems, this book develops precise and transparent measures of both electoral systems' interparty and intraparty incentives.