Abstract
A long-standing question in economics is how important unobserved differences across workers are for explaining unemployment. I revisit this topic using variation in lifetime unemployment across workers in U.S. data. A comparison of workers often unemployed with the rest shows that although differences in job-finding rates increase over the course of a career, differences in job-separation rates are large right from the start. I develop a directed search model with symmetric unobserved heterogeneity, in which agents learn workers' types from their labor market histories, to rationalize these findings. The model cannot match the data if unobserved heterogeneity is neglected.
| Original language | English |
|---|---|
| Pages (from-to) | 321-350 |
| Number of pages | 30 |
| Journal | International Economic Review |
| Volume | 61 |
| Issue number | 1 |
| Early online date | 2020 |
| DOIs | |
| Publication status | Published - Feb 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
Austrian Fields of Science 2012
- 502002 Labour economics
- 502018 Macroeconomics
Keywords
- Concentration
- Heterogeneity
- Inequality
- Learning
- Match Quality
- Human Behavior and the Economy
- SEARCH
- MOBILITY
- INFORMATION
- LABOR-MARKET
- JOB
- SELECTION
- DURATION
Fingerprint
Dive into the research topics of 'Work Histories and Lifetime Unemployment'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver