IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22202.html
   My bibliography  Save this paper

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
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22202.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Shimer & Lones Smith, 2000. "Assortative Matching and Search," Econometrica, Econometric Society, vol. 68(2), pages 343-370, March.
    2. 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.
    3. repec:wyi:journl:002164 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.
    16. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    17. 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.
    18. 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).
    19. Lazear, Edward P, 1986. "Retail Pricing and Clearance Sales," American Economic Review, American Economic Association, vol. 76(1), pages 14-32, March.
    20. 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.
    21. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    22. 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.
    23. 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).
    24. repec:wyi:journl:002178 is not listed on IDEAS
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Who Gets Hired? The Importance of Finding an Open Slot
      by maximorossi in NEP-LTV blog on 2016-07-01 19:56:28

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Horton & William R. Kerr & Christopher Stanton, 2017. "Digital Labor Markets and Global Talent Flows," NBER Chapters, in: High-Skilled Migration to the United States and Its Economic Consequences, pages 71-108, National Bureau of Economic Research, Inc.
    2. Alan Benson & Danielle Li & Kelly Shue, 2019. "Promotions and the Peter Principle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2085-2134.
    3. Jaume, David, 2021. "The labor market effects of an educational expansion," Journal of Development Economics, Elsevier, vol. 149(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oyer, Paul & Schaefer, Scott, 2011. "Personnel Economics: Hiring and Incentives," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 20, pages 1769-1823, Elsevier.
    2. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    3. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    4. Amanda Pallais & Emily Glassberg Sands, 2015. "Why the Referential Treatment: Evidence from Field Experiments on Referrals," NBER Working Papers 21357, National Bureau of Economic Research, Inc.
    5. Ines Black & Sharique Hasan & Rembrand Koning, 2024. "Hunting for talent: Firm‐driven labor market search in the United States," Strategic Management Journal, Wiley Blackwell, vol. 45(3), pages 429-462, March.
    6. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    7. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    8. Hayato Kanayama & Suguru Otani, 2024. "Nonparametric Estimation of Matching Efficiency and Elasticity in a Spot Gig Work Platform: 2019-2023," Papers 2412.19024, arXiv.org, revised Mar 2025.
    9. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    10. Faberman, R. Jason & Menzio, Guido, 2018. "Evidence on the relationship between recruiting and the starting wage," Labour Economics, Elsevier, vol. 50(C), pages 67-79.
    11. Marios Kokkodis, 2023. "Adjusting Skillset Cohesion in Online Labor Markets: Reputation Gains and Opportunity Losses," Information Systems Research, INFORMS, vol. 34(3), pages 1245-1258, September.
    12. Ana Dammert & Jose Galdo & Virgilio Galdo, 2015. "Integrating mobile phone technologies into labor-market intermediation: a multi-treatment experimental design," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-27, December.
    13. Wang, Jiancheng & Chen, Jialing & Li, Xiaoying & Li, Weiping, 2024. "Broadband acceleration and employment: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    14. Stefano Banfi & Benjamín Villena-Roldán, 2019. "Do High-Wage Jobs Attract More Applicants? Directed Search Evidence from the Online Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 37(3), pages 715-746.
    15. Davis, Steven J. & Samaniego de la Parra, Brenda, 2024. "Application Flows," IZA Discussion Papers 16903, Institute of Labor Economics (IZA).
    16. Potter, Tristan, 2024. "Destabilizing search technology," Journal of Monetary Economics, Elsevier, vol. 145(C).
    17. Nuarpear Lekfuangfu & Voraprapa Nakavachara & Paphatsorn Sawaengsuksant, 2017. "Glancing at Labour Market Mismatch with User-generated Internet Data," PIER Discussion Papers 53, Puey Ungphakorn Institute for Economic Research.
    18. Moshe A. Barach & John Horton, 2017. "How Do Employers Use Compensation History?: Evidence from a Field Experiment," CESifo Working Paper Series 6559, CESifo.
    19. R. Jason Faberman & Marianna Kudlyak, 2016. "What Does Online Job Search Tell Us about the Labor Market?," Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-15.
    20. David H. Autor, 2009. "Introduction to "Studies of Labor Market Intermediation"," NBER Chapters, in: Studies of Labor Market Intermediation, pages 1-23, National Bureau of Economic Research, Inc.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:22202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.