IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16781.html
   My bibliography  Save this paper

The Potential of Recommender Systems for Directing Job Search: A Large-Scale Experiment

Author

Listed:
  • Behaghel, Luc

    (Paris School of Economics)

  • Dromundo, Sofia

    (OECD)

  • Gurgand, Marc

    (Paris School of Economics)

  • Hazard, Yagan

    (Paris School of Economics)

  • Zuber, Thomas

    (Banque de France)

Abstract

We analyze the employment effects of directing job seekers' applications toward establishments likely to recruit. We run a two-sided randomization design involving about 800,000 job seekers and 40,000 establishments, based on an empirical model that recommends each job seeker to firms so as to maximize total potential employment. Our intervention induces a 1% increase in job finding rates for short term contracts. This impact comes from a targeting effect combining (i) a modest increase in job seekers' applications to the very firms that were recommended to them, and (ii) a high success rate conditional on applying to these firms. Indeed, the success rate of job seekers' applications varies considerably across firms: the efficiency of applications sent to recommended firms is 2.7 times higher than the efficiency of applications to the average firm. This suggests that there can be substantial gains from better targeting job search, leveraging firm-level heterogeneity.

Suggested Citation

  • Behaghel, Luc & Dromundo, Sofia & Gurgand, Marc & Hazard, Yagan & Zuber, Thomas, 2024. "The Potential of Recommender Systems for Directing Job Search: A Large-Scale Experiment," IZA Discussion Papers 16781, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16781
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16781.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    2. Bas van der Klaauw & Heike Vethaak, 2022. "Empirical Evaluation of Broader Job Search Requirements for Unemployed Workers," Tinbergen Institute Discussion Papers 22-083/V, Tinbergen Institute.
    3. Steven J. Davis & R. Jason Faberman & John C. Haltiwanger, 2013. "The Establishment-Level Behavior of Vacancies and Hiring," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 581-622.
    4. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    5. Philipp Kircher, 2022. "Job Search in the 21St Century," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2317-2352.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Thomas Le Barbanchon & Johannes F. Schmieder & Andrea Weber, 2024. "Job Search, Unemployment Insurance, and Active Labor Market Policies," NBER Working Papers 32720, National Bureau of Economic Research, Inc.

    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. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    2. Leonardo Fabio Morales & Carlos Ospino & Nicole Amaral, 2021. "Online Vacancies and its Role in Labor Market Performance," Borradores de Economia 1174, Banco de la Republica de Colombia.
    3. Czernich, Nina, 2014. "Does broadband internet reduce the unemployment rate? Evidence for Germany," Information Economics and Policy, Elsevier, vol. 29(C), pages 32-45.
    4. Betsey Stevenson, 2009. "The Internet and Job Search," NBER Chapters, in: Studies of Labor Market Intermediation, pages 67-86, National Bureau of Economic Research, Inc.
    5. Czernich, Nina, 2011. "Broadband Infrastructure and Unemployment - Evidence for Germany," Discussion Papers in Economics 12279, University of Munich, Department of Economics.
    6. Manning, Alan, 2011. "Imperfect Competition in the Labor Market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 11, pages 973-1041, Elsevier.
    7. 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).
    8. Kory Kroft & Devin G. Pope, 2014. "Does Online Search Crowd Out Traditional Search and Improve Matching Efficiency? Evidence from Craigslist," Journal of Labor Economics, University of Chicago Press, vol. 32(2), pages 259-303.
    9. 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.
    10. 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.
    11. Friedberg Leora & Owyang Michael T & Sinclair Tara M, 2006. "Searching For Better Prospects: Endogenizing Falling Job Tenure and Private Pension Coverage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-42, August.
    12. Fairlie, Robert W., 2005. "The effects of home computers on school enrollment," Economics of Education Review, Elsevier, vol. 24(5), pages 533-547, October.
    13. Manuel F. Bagues & Mauro Sylos Labini, 2009. "Do Online Labor Market Intermediaries Matter? The Impact of "AlmaLaurea" on the University-to-Work Transition," NBER Chapters, in: Studies of Labor Market Intermediation, pages 127-154, National Bureau of Economic Research, Inc.
    14. Beard, T. Randolph & Ford, George S. & Saba, Richard P. & Seals, Richard A., 2012. "Internet use and job search," Telecommunications Policy, Elsevier, vol. 36(4), pages 260-273.
    15. Hartl, Tobias & Hutter, Christian & Weber, Enzo, 2021. "Matching for three: big data evidence on search activity of workers, firms, and employment service," IAB-Discussion Paper 202101, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. Rajiv Garg & Rahul Telang, 2018. "To Be or Not to Be Linked: Online Social Networks and Job Search by Unemployed Workforce," Management Science, INFORMS, vol. 64(8), pages 3926-3941, August.
    17. Autor, David, 2008. "The Economics of Labor Market Intermediation: An Analytic Framework," IZA Discussion Papers 3705, Institute of Labor Economics (IZA).
    18. Kraft, Kornelius & Lammers, Alexander, 2021. "The Effects of Reforming a Federal Employment Agency on Labor Demand," IZA Discussion Papers 14629, Institute of Labor Economics (IZA).
    19. Gürtzgen, Nicole & (né Nolte), André Diegmann & Pohlan, Laura & van den Berg, Gerard J., 2021. "Do digital information technologies help unemployed job seekers find a job? Evidence from the broadband internet expansion in Germany," European Economic Review, Elsevier, vol. 132(C).
    20. repec:iab:iabjlr:v:55:i::p:art.1 is not listed on IDEAS
    21. Christian Hutter, 2021. "Cyclicality of labour market search: a new big data approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-16, December.

    More about this item

    Keywords

    recommender systems; matching; RCT; active labor market policies;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:iza:izadps:dp16781. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.