First published in 1983, Explaining and Predicting Elections is the first cross-national and comprehensive explanation of election results. It considers why one election differs from another and attempts to account for party gains and losses in the elections which have taken place in twenty-three democracies in the post-war period.
First published in 1983, Explaining and Predicting Elections is the first cross-national and comprehensive explanation of election results. It considers why one election differs from another and attempts to account for party gains and losses in the elections which have taken place in twenty-three democracies in the post-war period.
Ian Budge is a political scientist who has pioneered the use of quantitative methods to study party democracy across countries. Currently Emeritus Professor of the Department of Government, University of Essex, he has been Professor at the European University Institute, Florence, and visiting professor at various institutions in five other countries. Dennis J. Farlie
Inhaltsangabe
Introduction 1. Previous Work 2. Saliency Theory 3. Issues and Votes 4. Predicting Elections 5. Electoral Volatility 6. Party Appeals 7. General Theory References Appendix A: Postwar Votes in Twenty-Three Democracies Appendix B: Issues and Scorings for Individual Postwar Elections in Twenty-Three Democracies Appendix C: The Coding of Issues: Procedures and their Validity Appendix D: Scoring Election Issues: Assumptions and Performance of Alternative schemes
Introduction 1. Previous Work 2. Saliency Theory 3. Issues and Votes 4. Predicting Elections 5. Electoral Volatility 6. Party Appeals 7. General Theory References Appendix A: Postwar Votes in Twenty-Three Democracies Appendix B: Issues and Scorings for Individual Postwar Elections in Twenty-Three Democracies Appendix C: The Coding of Issues: Procedures and their Validity Appendix D: Scoring Election Issues: Assumptions and Performance of Alternative schemes
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