Table of Contents

Contents
List of Figures and Tables vii
List of Abbreviations ix
Acknowledgements xi
Part I. Split-Ticket Voting: Definition and Measurement 1
Chapter One – Introduction: What is it and Why Study Split-Ticket Voting? 3
Chapter Two – Theories of Split-Ticket Voting 11
Chapter Three – Measuring Split-Ticket Voting 23
Part II. Empirical Evidence: Why and How Voters Split Their Vote 47
Chapter Four – A Cross-Country Analysis of Split-Ticket Voting 49
Chapter Five – Parties, Candidates and Forced Split-Ticket Voting:
Evidence from Japan 71
Chapter Six – Pre-Electoral Coalitions and Split-Ticket Voting: Evidence
from the Italian Regional Level 93
Part III. Theoretical Implications 109
Chapter Seven – Conclusion and Directions for Future Research 111
Appendices 119
Bibliography 141
Index 153

About the Author

Since December 2013, Carolina Plescia has been Assistant Professor at the Department of Government, University of Vienna. She obtained her PhD in Political Science from Trinity College Dublin under the supervision of Michael Marsh and Kenneth Benoit. Her dissertation, on which this book is based, was the winner of the 2014 ECPR Jean Blondel PhD Prize for the best thesis in politics. Her main research interests include comparative electoral behaviour, coalition governments, representation, and research methods.

Reviews

This book provides the reader with an innovative cross-country study of vote choice under mixed systems using both individual and aggregate-level data. Ecological inference models of multi-party election outcomes at the electoral district level inform us about the conditions under which split-ticket voting is more or less common. While some might consider mixed system to be rather complicated for voters, the author finds clear individual-level evidence that citizens can cope with those rules and consider the impact of their vote on policy. Thus, scholars of party competition as well as students of voting behaviour want to add this book to their reading list. Thomas Gschwend, University of Mannheim