Disaggregate Matching Functions

René Fahr () and Uwe Sunde

No 335, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: 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: vacancies; empirical matching functions; Matching; unemployment; occupational structure (search for similar items in EconPapers)
JEL-codes: E24 J21 J41 J42 J62 J63 (search for similar items in EconPapers)
Pages: 80 pages
Date: 2001-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

Published - revised version published as 'Occupational Job Creation: Patterns and Implications' in: Oxford Economic Papers, 2004, 56 (3), 407-436

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