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Employer Learning and the “Importance†of Skills

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  • Audrey Light
  • Andrew McGee

Abstract

We ask whether employer learning in the wage-setting process depends on skill type and skill importance to productivity, using measures of seven premarket skills and data for each skill’s importance to occupation-specific productivity. Before incorporating importance measures, we find evidence of employer learning for each skill type, for college and high school graduates, and for blue-and white-collar workers, but no evidence that employer learning varies significantly across skill or worker type. When we allow parameters identifying employer learning and screening to vary by skill importance, we identify tradeoffs between learning and screening for some (but not all) skills.

Suggested Citation

  • Audrey Light & Andrew McGee, 2015. "Employer Learning and the “Importance†of Skills," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 72-107.
  • Handle: RePEc:uwp:jhriss:v:50:y:2015:i:1:p:72-107
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    References listed on IDEAS

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    Cited by:

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    2. Araki, Shota & Kawaguchi, Daiji & Onozuka, Yuki, 2016. "University prestige, performance evaluation, and promotion: Estimating the employer learning model using personnel datasets," Labour Economics, Elsevier, vol. 41(C), pages 135-148.
    3. Wang, Jun & Li, Bo, 2020. "Does employer learning with statistical discrimination exist in China? Evidence from Chinese Micro Survey Data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 319-333.
    4. Ganzach, Yoav & Patel, Pankaj C., 2018. "Wages, mental abilities and assessments in large scale international surveys: Still not much more than g," Intelligence, Elsevier, vol. 69(C), pages 1-7.

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