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Learning to hire? Hiring as a dynamic experiential learning process in an online market for contract labor

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  • Leung, Ming D

Abstract

We know a job applicant’s social category affects an employer’s likelihood of hiring them, but we do not know whether, or how, employers update their beliefs regarding members of these social categories. I examine how prior negative and positive hiring experiences of employees from particular countries affects an employer’s subsequent likelihood of hiring applicants from those countries. Analyses of over 26 million applications, from freelancers worldwide, for over 2.2 million jobs on an online labor market demonstrate that employers react more strongly to negative hiring experiences than positive ones. Employers are 14% less likely (versus 8% more likely) to hire freelancers from a country following a prior negative (versus positive) experience. The similarity of the prior job moderates this effect. Prior negative experiences with similar jobs (versus dissimilar jobs) lead employers to be 92% less likely (versus 7% less likely) to hire from that country. Conversely, positive experiences with similar jobs (versus dissimilar jobs) lead employers to be 23% more likely (versus 3% more likely) to subsequently hire from that country. The consequences for switching countries, following negative experiences, are analyzed and wage differences, made to compensate for employer reactions, are calculated. Contributions to the hiring discrimination, impression formation, and gig-economy literatures are discussed.

Suggested Citation

  • Leung, Ming D, 2017. "Learning to hire? Hiring as a dynamic experiential learning process in an online market for contract labor," Institute for Research on Labor and Employment, Working Paper Series qt5rj3f9xg, Institute of Industrial Relations, UC Berkeley.
  • Handle: RePEc:cdl:indrel:qt5rj3f9xg
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    2. Lepage, Louis Pierre, 2021. "Endogenous learning, persistent employer biases, and discrimination," CLEF Working Paper Series 34, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    3. Daniel W. Elfenbein & Adina D. Sterling, 2018. "(When) Is Hiring Strategic? Human Capital Acquisition in the Age of Algorithms," Strategy Science, INFORMS, vol. 3(4), pages 668-682, December.
    4. Dalton, Michael & Landry, Peter, 2020. "‘Overattention’ to first-hand experience in hiring decisions: Evidence from professional basketball," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 98-113.
    5. Seifried, Mareike, 2021. "Transitions from offline to online labor markets: The relationship between freelancers' prior offline and online work experience," ZEW Discussion Papers 21-101, ZEW - Leibniz Centre for European Economic Research.
    6. Chen Liang & Yili Hong & Bin Gu, 2017. "Home Bias in Global Employment," Working Papers 17-06, NET Institute.
    7. Moshe A. Barach & Aseem Kaul & Ming D. Leung & Sibo Lu, 2019. "Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market," Strategy Science, INFORMS, vol. 4(4), pages 298-322, December.
    8. Lehrer, Steven & Lepage, Louis-Pierre & Sousa Pereira, Nuno, 2024. "Breaking Barriers: The Impact of Employer Exposure to Immigrants," Working Paper Series 2/2024, Stockholm University, Swedish Institute for Social Research.
    9. Lepage, Louis Pierre, 2020. "Endogenous learning and the persistence of employer biases in the labor market," CLEF Working Paper Series 24, Canadian Labour Economics Forum (CLEF), University of Waterloo.

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