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Worker Mobility in a Search Model with Adverse Selection

Author

Listed:
  • Leo Kaas

    (University of Konstanz)

  • Carlos Carrillo-Tudela

    (Essex)

Abstract

We analyze the effects of adverse selection on worker turnover and wage dynamics in a frictional labor market. We consider a model of on-the-job search where firms offer promotion wage contracts to workers of different ability, which is unknown to firms at the hiring stage. With sufficiently strong information frictions, low-wage firms offer separating contracts and hire all types of workers in equilibrium, whereas high-wage firms offer pooling contracts, promoting high-ability workers only. Low-ability workers have higher turnover rates and are more often employed in low-wage firms. The model replicates the negative relationship between job-to-job transitions and wages observed in the U.S. labor market.

Suggested Citation

  • Leo Kaas & Carlos Carrillo-Tudela, 2015. "Worker Mobility in a Search Model with Adverse Selection," 2015 Meeting Papers 351, Society for Economic Dynamics.
  • Handle: RePEc:red:sed015:351
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    Citations

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    Cited by:

    1. Yu Chen, 2022. "A Directed Search Model of Crowding Out," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 308-340, January.
    2. Carlos Carrillo-Tudela & Eric Smith, 2017. "Search Capital," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 191-211, January.
    3. Karin Mayr-Dorn, 2019. "Does digitalization increase labor market efficiency? Job search and effort on the job with asymmetric information and firm learning," Economics working papers 2019-06, Department of Economics, Johannes Kepler University Linz, Austria.
    4. Hermann Gartner & Christian Holzner, 2015. "Wage Posting as a Positive Selection Device: Theory and Empirical Evidence," CESifo Working Paper Series 5494, CESifo.
    5. Papageorgiou, Theodore, 2018. "Large firms and within firm occupational reallocation," Journal of Economic Theory, Elsevier, vol. 174(C), pages 184-223.
    6. Karin Mayr‐Dorn, 2023. "Adverse Selection, Learning, And Competitive Search," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 129-153, February.
    7. Chen, Yu & Doyle, Matthew & Gonzalez, Francisco M., 2024. "Wages as signals of worker mobility," Theoretical Economics, Econometric Society, vol. 19(1), January.
    8. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    9. Rao, Neel, 2022. "Search equilibrium with unobservable investment," Games and Economic Behavior, Elsevier, vol. 133(C), pages 300-330.
    10. Kunio Tsuyuhara, 2016. "Dynamic Contracts With Worker Mobility Via Directed On‐The‐Job Search," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(4), pages 1405-1424, November.
    11. Rao, Neel, 2016. "Asymmetric information and search frictions: A neutrality result," Economics Letters, Elsevier, vol. 147(C), pages 138-141.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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