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Matching with Phantoms

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Listed:
  • Arnaud Cheron
  • Bruno Decreuse

Abstract

Searching for partners involves informational persistence that reduces future traders’ matching probability. In this article, traders who are no longer available but who left tracks on the market are called phantoms. We examine a dynamic matching market in which phantoms are a by-product of search activity, no coordination frictions are assumed, and non-phantom traders may lose time trying to match with phantoms. The resulting aggregate matching technology features increasing returns to scale in the short run, but has constant returns to scale in the long run. We embed a generalized version of this matching function in the canonical continuous-time equilibrium search unemployment model. Long-run constant returns to scale imply there is a unique steady state, whereas short-run increasing returns generate excess volatility in the short run and endogenous fluctuations based on self-fulfilling prophecies.

Suggested Citation

  • Arnaud Cheron & Bruno Decreuse, 2017. "Matching with Phantoms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(3), pages 1041-1070.
    • Handle: RePEc:oup:restud:v:84:y:2017:i:3:p:1041-1070.
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    File URL: http://hdl.handle.net/10.1093/restud/rdw032
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    References listed on IDEAS

    as
    1. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
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    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. Matching with Phantoms
      by Christian Zimmermann in NEP-DGE blog on 2010-04-28 01:18:57

    Citations

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    Cited by:

    1. Sushant Acharya & Shu Lin Wee, 2018. "Replacement hiring and the productivity-wage gap," Staff Reports 860, Federal Reserve Bank of New York.
    2. Matthias S. Hertweck & Vivien Lewis & Stefania Villa, 2021. "Going the Extra Mile: Effort by Workers and Job‐Seekers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 2099-2127, December.
    3. Espen R Moen & Plamen T Nenov & Florian Sniekers, 2021. "Buying First or Selling First in Housing Markets," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 38-81.
    4. Morgan Raux, 2019. "Looking for the "Best and Brightest": Hiring difficulties and high-skilled foreign workers," Working Papers halshs-02364921, HAL.
    5. Lennart Ziegler, 2020. "Skill Demand and Posted Wages. Evidence from Online Job Ads in Austria," Vienna Economics Papers vie2002, University of Vienna, Department of Economics.
    6. Barinova Vera & Eremkin Vladimir & Mukhlisova Albina & Radnabazarova Sanda & Rybalkin Vyacheslav & Shestakov Viktor, "undated". "Infrastructure of Support on the Different Stages of Innovation Process: Detection of 'Bottlenecks' in Current Russian Practice and Suggestions for Improvement," Published Papers nvg117, Russian Presidential Academy of National Economy and Public Administration.
    7. Bhole, Monica & Fradkin, Andrey & Horton, John, 2021. "Information About Vacancy Competition Redirects Job Search," SocArXiv p82fk, Center for Open Science.
    8. Gökten, Meryem & Heimberger, Philipp & Lichtenberger, Andreas, 2024. "How far from full employment? The European unemployment problem revisited," European Economic Review, Elsevier, vol. 164(C).
    9. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions: Evidence from Vacancy Postings of Chinese Firms in the Trade War," Labour Economics, Elsevier, vol. 71(C).
    10. Michèle Belot & Philipp Kircher & Paul Muller, 2022. "How Wage Announcements Affect Job Search—A Field Experiment," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 1-67, October.
    11. James Albrecht & Bruno Decreuse & Susan Vroman, 2023. "Directed Search With Phantom Vacancies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(2), pages 837-869, May.
    12. Bamieh, Omar & Ziegler, Lennart, 2022. "Are remote work options the new standard? Evidence from vacancy postings during the COVID-19 crisis," Labour Economics, Elsevier, vol. 76(C).
    13. Albrecht, James & Cai, Xiaoming & Gautier, Pieter & Vroman, Susan, 2020. "Multiple applications, competing mechanisms, and market power," Journal of Economic Theory, Elsevier, vol. 190(C).
    14. Stef Garasto & Jyldyz Djumalieva & Karlis Kanders & Rachel Wilcock & Cath Sleeman, 2021. "Developing experimental estimates of regional skill demand," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-02, Economic Statistics Centre of Excellence (ESCoE).
    15. Bamieh, Omar & Ziegler, Lennart, 2023. "Gender-age differences in hiring rates and prospective wages—Evidence from job referrals to unemployed workers," Labour Economics, Elsevier, vol. 83(C).
    16. Ziegler, Lennart, 2021. "Skill Demand and Wages. Evidence from Linked Vacancy Data," IZA Discussion Papers 14511, Institute of Labor Economics (IZA).
    17. Acharya, Sushant & Wee, Shu Lin, 2020. "On-the-job Search and the Productivity-Wage Gap," CEPR Discussion Papers 14430, C.E.P.R. Discussion Papers.
    18. Bamieh, Omar & Ziegler, Lennart, 2020. "How Does the COVID-19 Crisis Affect Labor Demand? An Analysis Using Job Board Data From Austria," IZA Discussion Papers 13801, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Information persistence; Endogenous matching function; Business cycles;
    All these keywords.

    JEL classification:

    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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