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Who Gets Hired? The Importance of Finding an Open Slot

Author

Listed:
  • Edward P. Lazear
  • Kathryn L. Shaw
  • Christopher T. Stanton

Abstract

A model of hiring into posted job slots suggests hiring is based on comparative advantage: being hired depends not only on one’s own skill but also on the skills of other applicants. The model has numerous implications. First, bumping of applicants occurs when one job-seeker is slotted into a lower paying job by another applicant who is more skilled. Second, less able workers are more likely to be unemployed because they are bumped. Third, vacancies are higher for harder to fill skilled jobs. Fourth, some workers are over-qualified for their jobs whereas others are under-qualified. These implications are borne out using four different data sets.

Suggested Citation

  • Edward P. Lazear & Kathryn L. Shaw & Christopher T. Stanton, 2016. "Who Gets Hired? The Importance of Finding an Open Slot," NBER Working Papers 22202, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22202
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    References listed on IDEAS

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    1. repec:wyi:journl:002164 is not listed on IDEAS
    2. Vera Brenčič, 2010. "Do Employers Respond to the Costs of Continued Search?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 221-245, April.
    3. Ejaz Ghani & William R. Kerr & Christopher Stanton, 2014. "Diasporas and Outsourcing: Evidence from oDesk and India," Management Science, INFORMS, vol. 60(7), pages 1677-1697, July.
    4. Kahn, Lisa B., 2010. "The long-term labor market consequences of graduating from college in a bad economy," Labour Economics, Elsevier, vol. 17(2), pages 303-316, April.
    5. Peter Kuhn & Kailing Shen, 2013. "Gender Discrimination in Job Ads: Evidence from China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 287-336.
    6. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. Stephen V. Burks & Bo Cowgill & Mitchell Hoffman & Michael Housman, 2015. "The Value of Hiring through Employee Referrals," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 805-839.
    9. Robert Shimer & Lones Smith, 2000. "Assortative Matching and Search," Econometrica, Econometric Society, vol. 68(2), pages 343-370, March.
    10. van Ours, Jan & Ridder, Geert, 1992. "Vacancies and the Recruitment of New Employees," Journal of Labor Economics, University of Chicago Press, vol. 10(2), pages 138-155, April.
    11. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    12. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    13. Pager, Devah & Western, Bruce & Bonikowski, Bart, 2009. "Discrimination in a Low-Wage Labor Market: A Field Experiment," IZA Discussion Papers 4469, Institute of Labor Economics (IZA).
    14. Paul Oyer, 2008. "The Making of an Investment Banker: Stock Market Shocks, Career Choice, and Lifetime Income," Journal of Finance, American Finance Association, vol. 63(6), pages 2601-2628, December.
    15. Lazear, Edward P, 1986. "Retail Pricing and Clearance Sales," American Economic Review, American Economic Association, vol. 76(1), pages 14-32, March.
    16. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    17. Abowd, John M. & Haltiwanger, John C. & Lane, Julia & McKinney, Kevin Lee & Sandusky, L. Kristin, 2007. "Technology and the Demand for Skill: An Analysis of Within and Between Firm Differences," IZA Discussion Papers 2707, Institute of Labor Economics (IZA).
    18. repec:wyi:journl:002178 is not listed on IDEAS
    19. Alicia Sasser Modestino & Daniel Shoag & Joshua Ballance, 2020. "Upskilling: Do Employers Demand Greater Skill When Workers Are Plentiful?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 793-805, October.
    20. Burks, Stephen V. & Cowgill, Bo & Hoffman, Mitchell & Housman, Michael, 2013. "The Value of Hiring through Referrals," IZA Discussion Papers 7382, Institute of Labor Economics (IZA).
    21. Peter A. Diamond, 1982. "Wage Determination and Efficiency in Search Equilibrium," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(2), pages 217-227.
    22. Laura Gee, 2014. "The More you Know: Information Effects in Job Application Rates by Gender in a Large Field Experiment," Discussion Papers Series, Department of Economics, Tufts University 0780, Department of Economics, Tufts University.
    23. M. J. Andrews & S. Bradley & D. Stott & R. Upward, 2008. "Successful Employer Search? An Empirical Analysis of Vacancy Duration Using Micro Data," Economica, London School of Economics and Political Science, vol. 75(299), pages 455-480, August.
    24. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    25. Amanda Pallais, 2014. "Inefficient Hiring in Entry-Level Labor Markets," American Economic Review, American Economic Association, vol. 104(11), pages 3565-3599, November.
    26. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    1. Who Gets Hired? The Importance of Finding an Open Slot
      by maximorossi in NEP-LTV blog on 2016-07-01 19:56:28

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    2. Alan Benson & Danielle Li & Kelly Shue, 2018. "Promotions and the Peter Principle," NBER Working Papers 24343, National Bureau of Economic Research, Inc.
    3. Jaume, David, 2021. "The labor market effects of an educational expansion," Journal of Development Economics, Elsevier, vol. 149(C).

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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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