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Matching Through Search Channels

Author

Listed:
  • Carillo-Tudela, Carlos

    (University of Essex)

  • Kaas, Leo

    (Universität Frankfurt am Main)

  • Lochner, Benjamin

    (Institute for Employment Research (IAB), Nuremberg, Germany ; FAU)

Abstract

"Firms and workers predominately match via job postings, networks of personal contacts or the public employment agency, all of which help to ameliorate labor market frictions. In this paper we investigate the extent to which these search channels have differential effects on labor market outcomes. Using novel linked survey-administrative data we document that (i) low-wage firms and low-wage workers are more likely to match via networks or the public agency, while high-wage firms and high-wage workers succeed more often via job postings; (ii) job postings help firms the most in poaching and attracting high-wage workers and help workers the most in climbing the job ladder. To evaluate the implications of these findings for employment, wages and labor market sorting, we structurally estimate an equilibrium job ladder model featuring two-sided heterogeneity, multiple search channels and endogenous recruitment effort. The estimation reveals that networks are the most cost-effective channel, allowing firms to hire quickly, yet attracting workers of lower average ability. Job postings are the most costly channel, facilitate hiring workers of higher ability, and matter most for worker-firm sorting. Although the public employment agency provides the lowest hiring probability, its removal has sizeable consequences, with aggregate employment declining by at least 1.4 percent and rising bottom wage inequality." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Carillo-Tudela, Carlos & Kaas, Leo & Lochner, Benjamin, 2023. "Matching Through Search Channels," IAB-Discussion Paper 202310, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:202310
    DOI: 10.48720/IAB.DP.2310
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    References listed on IDEAS

    as
    1. Amelie Schiprowski, 2020. "The Role of Caseworkers in Unemployment Insurance: Evidence from Unplanned Absences," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1189-1225.
    2. Alessandro Gavazza & Simon Mongey & Giovanni L. Violante, 2018. "Aggregate Recruiting Intensity," American Economic Review, American Economic Association, vol. 108(8), pages 2088-2127, August.
    3. 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.
    4. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    5. Michèle Belot & Philipp Kircher & Paul Muller, 2019. "Providing Advice to Jobseekers at Low Cost: An Experimental Study on Online Advice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1411-1447.
    6. Fontaine, François, 2008. "Why are similar workers paid differently? the role of social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3960-3977, December.
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    9. M. J. Andrews & L. Gill & T. Schank & R. Upward, 2008. "High wage workers and low wage firms: negative assortative matching or limited mobility bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 673-697, June.
    10. Meta Brown & Elizabeth Setren & Giorgio Topa, 2016. "Do Informal Referrals Lead to Better Matches? Evidence from a Firm's Employee Referral System," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 161-209.
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    More about this item

    Keywords

    Bundesrepublik Deutschland ; IAB-Open-Access-Publikation ; Auswirkungen ; beruflicher Aufstieg ; Beschäftigungseffekte ; Effizienz ; Einkommenseffekte ; informelle Kommunikation ; Integrierte Erwerbsbiografien ; Integrierte Erwerbsbiografien ; Kosten ; matching ; Personalbeschaffung ; IAB-Stellenerhebung ; IAB-Stellenerhebung ; qualifikationsspezifische Faktoren ; soziales Netzwerk ; Stellenanzeige ; Suchverfahren ; zwischenbetriebliche Mobilität ; Arbeitsuche ; Arbeitsvermittlung ; Arbeitsverwaltung ; IAB-Haushaltspanel ; IAB-Haushaltspanel;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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