Arbeitspapier

Revisiting the Matching Function

There is strong empirical evidence for Cobb-Douglas matching functions. We show in this paper that this widely found relation between matches on the one hand and unemployment and vacancies on the other hand can be the result of different underlying mechanisms. Obviously, it can be generated by assuming a Cobb-Douglas matching function. Less obvious, the same relationship results from a vacancy free entry condition and idiosyncratic productivity shocks. A positive aggregate productivity shock leads to more vacancy posting, a shift of the idiosyncratic selection cutoff and thereby more hiring. We calibrate a model with both mechanisms to administrative German labor market data and show that idiosyncratic productivity for new contacts is an important driver of the elasticity of the job-finding rate with respect to market tightness. Accounting for idiosyncratic productivity can explain the observed negative time trend in estimated matching efficiency and asymmetric business cycle responses to large aggregate shocks.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 5924

Klassifikation
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Business Fluctuations; Cycles
Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy: General (includes Measurement and Data)
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Thema
matching function
idiosyncratic productivity
job creation
vacancies
time trend
asymmetries

Ereignis
Geistige Schöpfung
(wer)
Kohlbrecher, Britta
Merkl, Christian
Nordmeier, Daniela
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kohlbrecher, Britta
  • Merkl, Christian
  • Nordmeier, Daniela
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2016

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