Data and Code for: Public debt and the political economy of reforms
Principal Investigator(s): View help for Principal Investigator(s) Pierre Boyer, Ecole polytechnique - CREST; Christoph Esslinger, VUI.agency; Brian Roberson, Purdue University
Version: View help for Version V1
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Project Citation:
Boyer, Pierre, Esslinger, Christoph, and Roberson, Brian. Data and Code for: Public debt and the political economy of reforms. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-06-19. https://doi.org/10.3886/E193601V1
Project Description
Summary:
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How do electoral incentives influence the choice to experiment with a policy reform that generates uncertain future benefits? To answer this question, we examine a two-period model of redistributive politics with uncertain policy outcomes involving a mixture of private and public benefits. In equilibrium, we find that the intertemporal tradeoff between current policy costs and future benefits creates an incentive for politicians to use public debt to smooth spending across periods. The higher the share of policy benefits that are in the form of a public good, the higher the level of available debt-related spending on targeted policies that is necessary.
Funding Sources:
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ANR (ANR-11-IDEX-0003/Labex Ecodec/ANR-11-LABX-0047);
ANR (ANR-19-CE41-0011-01);
ANR (ANR-20-CE41-0013-01);
Collaborative Research Center (884)
Scope of Project
Subject Terms:
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public debt;
reforms;
debt and spending limits
JEL Classification:
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C72 Noncooperative Games
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
D78 Positive Analysis of Policy Formulation and Implementation
H60 National Budget, Deficit, and Debt: General
C72 Noncooperative Games
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
D78 Positive Analysis of Policy Formulation and Implementation
H60 National Budget, Deficit, and Debt: General
Geographic Coverage:
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OECD countries
Time Period(s):
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1995 – 2019
Data Type(s):
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aggregate data;
program source code
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