Disaggregate Matching Functions

79 Pages Posted: 20 Aug 2001

See all articles by Rene Fahr

Rene Fahr

University of Paderborn; IZA Institute of Labor Economics

Uwe Sunde

Ludwig Maximilian University of Munich (LMU)

Date Written: July 2001


This paper deals with empirical matching functions. The paper is innovative in several ways. First, unlike in most of the existing literature, matching functions are estimated not only on aggregate, but also on disaggregate levels which is unusual due to the scarcity of appropriate data. Moreover, the unique data set used allows to distinguish inflows into jobs by sources. Results for different measures of flows found in the literature can therefore be replicated using a single data set. Labor markets can be disaggregated by occupations, rather than by industries or regions. Furthermore, disaggregation is possible for age and educational groups. The paper allows detailed insights into the pattern of frictions in labor markets, on mismatch and labor market tightness, and therefore provides valuable information necessary for the conduct of labor market policies.

Keywords: Matching, Empirical Matching Functions, Vacancies, Unemployment, Occupational Structure

JEL Classification: E24,J21,J41,J42,J62,J63

Suggested Citation

Fahr, Rene and Sunde, Uwe, Disaggregate Matching Functions (July 2001). Available at SSRN: https://ssrn.com/abstract=278527 or http://dx.doi.org/10.2139/ssrn.278527

Rene Fahr (Contact Author)

University of Paderborn ( email )

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D-33098 Paderborn
+49 5251 60 3692 (Phone)

HOME PAGE: http://www.quantitative-cg.de

IZA Institute of Labor Economics

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+49 228 38 94 510 (Fax)

Uwe Sunde

Ludwig Maximilian University of Munich (LMU) ( email )

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Munich, DE Bavaria 80539

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