Matching through Search Channels

Carlos Carrillo-Tudela, Leo Kaas and Benjamin Lochner

No 16583, IZA Discussion Papers from Institute of Labor Economics (IZA)

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.

Keywords: search channels; on-the-job search; recruitment effort; sorting; wage dispersion (search for similar items in EconPapers)
JEL-codes: E24 J23 J31 J63 J64 (search for similar items in EconPapers)
Pages: 72 pages
Date: 2023-11
New Economics Papers: this item is included in nep-dge, nep-eur, nep-hrm, nep-lab, nep-net and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Matching through Search Channels (2023)
Working Paper: Matching Through Search Channels (2023)
Working Paper: Matching Through Search Channels (2023)
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