Data and Code for: Public Pension Reforms and Retirement Decisions: Narrative Evidence and Aggregate Implications
Principal Investigator(s): View help for Principal Investigator(s) Huixin Bi, Federal Reserve Bank of Kansas City; Sarah Zubairy, Texas A&M University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| Replication_Files_BiZubairy_Version2 | 11/14/2022 04:10:PM |
Project Citation:
Bi, Huixin, and Zubairy, Sarah. Data and Code for: Public Pension Reforms and Retirement Decisions: Narrative Evidence and Aggregate Implications. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-10-18. https://doi.org/10.3886/E173182V1
Project Description
Summary:
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We construct a database of public pension policy changes with motivation and implementation information for ten OECD countries. Structural pension reforms, motivated by long-run sustainability concerns, often come with prolonged phase-in periods. In response to pension retrenchments implemented immediately, people close to retirement stay in the work force longer. News about future pension retrenchments with implementation lags, however, is likely to lead this group to exit the labor market. This decline in the labor force participation rate is particularly strong for reforms with long lags, ones that introduce fundamental policy changes, and where citizens have lower trust in the government.
Scope of Project
JEL Classification:
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E62 Fiscal Policy
H30 Fiscal Policies and Behavior of Economic Agents: General
H55 Social Security and Public Pensions
E62 Fiscal Policy
H30 Fiscal Policies and Behavior of Economic Agents: General
H55 Social Security and Public Pensions
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