Replication data for: Moderating Political Extremism: Single Round versus Runoff Elections under Plurality Rule
Principal Investigator(s): View help for Principal Investigator(s) Massimo Bordignon; Tommaso Nannicini; Guido Tabellini
Version: View help for Version V1
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 08:59:PM |
Project Citation:
Bordignon, Massimo, Nannicini, Tommaso, and Tabellini, Guido. Replication data for: Moderating Political Extremism: Single Round versus Runoff Elections under Plurality Rule. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112940V1
Project Description
Summary:
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We compare single round versus runoff elections under plurality rule, allowing for partly endogenous party formation. Under runoff elections, the number of political candidates is larger, but the influence of extremist voters on equilibrium policy, and hence policy volatility, is smaller because the bargaining power of the political extremes is reduced compared to single round elections. The predictions on the number of candidates and on policy volatility are confirmed by evidence from a regression discontinuity design in Italy, where cities above 15,000 inhabitants elect the mayor with a runoff system, while those below hold single round elections.
Scope of Project
Subject Terms:
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electoral rules;
political extremism
JEL Classification:
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C78 Bargaining Theory; Matching Theory
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
C78 Bargaining Theory; Matching Theory
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Geographic Coverage:
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Italy
Universe:
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population, number of candidates for mayor ,and policy outcomes (tax rates) of all Italian municipalities
Data Type(s):
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administrative records data;
census/enumeration data;
other:
Methodology
Data Source:
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Italian Minister of the INterior and Italian statistical agency
Unit(s) of Observation:
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municipalities,
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