Experience and worker flows

• 成果类型: Article
• 署名作者: Gorry, Aspen
• 署名单位: Utah System of Higher Education; Utah State University
• 刊物名称: QUANTITATIVE ECONOMICS
• ISSN/ISSBN: 1759-7323
• DOI: 10.3982/QE363
• 发表日期: 2016
• 页码: 225-255
• 关键词: Learning; experience; wage volatility; worker flows; job finding probability

摘要

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.