Employer Learning, Statistical Discrimination and Occupational Attainment
Abstract
I examine the implications of employer learning and statistical discrimination for initial employment rates, wages, and occupational attainment and for wage growth and occupational change over a career using a model in which the sensitivity of productivity to worker skill is increasing in the skill requirements of the job and in which employers learn about worker skill more rapidly in high skill jobs. I show that statistical discrimination influences initial employment rates, wage levels and job type, and that employers' initial estimate of productivity influences wage growth even in an environment in which access to training is not an issue. The implication is that the market may be slow to learn that a worker is highly skilled if worker's best early job opportunity given the information available to employers is a low skill level job that reveals little about the worker's talent.Download Info
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Paper provided by Yale University, Department of Economics in its series Working Papers with number 3.Length:
Date of creation: Sep 2005
Date of revision:
Handle: RePEc:ecl:yaleco:3
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Related research
Keywords:Find related papers by JEL classification:
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
References
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Citations
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- Francesco Cinnirella & Joachim Winter, 2009. "Size Matters! Body Height and Labor Market Discrimination: A Cross-European Analysis," CESifo Working Paper Series 2733, CESifo Group Munich.
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