Experience and worker flows

Artikel

This paper studies the role of worker learning in a labor market where workers have incomplete information about the quality of their employment match. The amount of information about the quality of a new match depends on a worker's past job experience. Allowing workers to learn from experience generates a decline in job finding probabilities with age that is consistent with patterns found in the data. Moreover, workers with more past experience will on average have less wage volatility on new jobs, which is also consistent with the data. In contrast to the fact that the cross-sectional wage distribution fans out with experience, this second result implies that individual wage changes become more predictable.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 7 ; Year: 2016 ; Issue: 1 ; Pages: 225-255 ; New Haven, CT: The Econometric Society

Classification and Topics

• Classification: Wirtschaft
• Subject: Learning ; experience ; wage volatility ; worker flows ; job finding probability

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Gorry, Aspen
• Event: Veröffentlichung
• (who): The Econometric Society
• (where): New Haven, CT
• (when): 2016

Further information

• DOI: doi:10.3982/QE363
• Handle: http://hdl.handle.net/10419/150408
• Last update: 10.03.2025, 11:43 AM CET