Arbeitspapier

Job matching on connected regional and occupational labor markets

Job mobility equilibrates disparities on local labor markets and influences the efficiency of the job matching process. In this paper, we describe a job matching model that allows for simultaneous regional and occupational mobility, predicting corresponding spillover effects on the number of matches. We estimate these spillover effects based on novel administrative German data on the number of matches, unemployed, and vacancies of local labor markets, which we define as distinct occupations in distinct regions. We specify a matching function for these local labor markets with regional spillovers, occupational spillovers, as well as combined regional and occupational spillovers of unemployed and vacancies. To construct these spillover terms, we use information on the proximity between regions and on similarities between occupations in terms of qualification requirements and tasks. We find that regional spillover effects for both vacancies and the unemployed are positive, occupational spillover effects for vacancies are positive and occupational spillover effects for the unemployed are negative. The combined regional and occupational spillover effects for both vacancies and the unemployed are positive. We conclude that neglecting regional, occupational, and combined spillovers leads to biased estimates of job matching efficiency in local labor markets.

Sprache
Englisch

Erschienen in
Series: IAB-Discussion Paper ; No. 35/2017

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Professional Labor Markets; Occupational Licensing
Unemployment: Models, Duration, Incidence, and Job Search
Thema
Matching function
Job mobility
Local labor markets

Ereignis
Geistige Schöpfung
(wer)
Fedorets, Alexandra
Stops, Michael
Lottmann, Franziska
Ereignis
Veröffentlichung
(wer)
Institut für Arbeitsmarkt- und Berufsforschung (IAB)
(wo)
Nürnberg
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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

Objekttyp

  • Arbeitspapier

Beteiligte

  • Fedorets, Alexandra
  • Stops, Michael
  • Lottmann, Franziska
  • Institut für Arbeitsmarkt- und Berufsforschung (IAB)

Entstanden

  • 2017

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