Arbeitspapier

The importance of two-sided heterogeneity for the cyclicality of labour market dynamics

Using two data sets derived from German administrative data, including a linked employer-employee data set, we investigate the cyclicality of worker and job °ows. The analysis stresses the importance of two-sided labour market heterogeneity in this context, taking into account both observed and unobserved characteristics. We find that small firms hire mainly unemployed workers, and that they do so at the beginning of an economic expansion. Later on in the expansion, hirings more frequently result from direct job-to-job transitions, with employed workers moving to larger firms. Contrary to our expectations, workers moving to larger firms do not experience signi¯cantly larger wage gains than workers moving to smaller establishments. Furthermore, our econometric analysis shows that the interaction of unobserved heterogeneities on the two sides of the labour market plays a more important role for employed job seekers than for the unemployed.

Language
Englisch

Bibliographic citation
Series: Technical Report ; No. 2009,05

Classification
Labor Turnover; Vacancies; Layoffs
Unemployment: Models, Duration, Incidence, and Job Search
Labor Force and Employment, Size, and Structure
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Subject
worker °ows
accessions
separations
business cycle
job-to-job
employer-to-employer
linked employer-employee
Arbeitsmobilität
Arbeitsnachfrage
Konjunkturelle Arbeitslosigkeit
Berufliche Integration
Betriebsgröße
Deutschland

Event
Geistige Schöpfung
(who)
Bachmann, Ronald
David, Peggy
Event
Veröffentlichung
(who)
Technische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
(where)
Dortmund
(when)
2009

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bachmann, Ronald
  • David, Peggy
  • Technische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

Time of origin

  • 2009

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