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.
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.
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.
Inhaltsangabe
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
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
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