Job and vacancy competition in empirical matching functions

Fahr, René; Sunde, Uwe

doi:10.1016/j.labeco.2004.04.003

Cited by 10 publications

(21 citation statements)

References 7 publications

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“…The use of these proxies could produce biased estimates (Broersma/Ours, 1999;Anderson/Burgess, 2000;Fahr/Sunde, 2005;Sunde, 2007). Therefore, Anderson/Burgess (2000) propose interpreting the empirical matching elasticities as quantities that are obtained from a "reduced" model.…”

Section: Pooled Ols and Fixed Effects Estimatorsmentioning

confidence: 99%

Job matching across occupational labour markets

Stops

2014

Oxford Economic Papers

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Section: Pooled Ols and Fixed Effects Estimatorsmentioning

confidence: 99%

Job matching across occupational labour markets

Stops

2014

Oxford Economic Papers

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“…Empirical matching functions have been estimated for Germany before (see e.g. Entorf, 1998; Fahr and Sunde, 2004, 2005, 2006a, 2006b; Gross, 1997). However, all these estimates for Germany have used data on a quarterly or even an annual basis, and the most recent estimates date back to the late 1990s.…”

Section: Introductionmentioning

confidence: 99%

Did the Hartz Reforms Speed-Up the Matching Process? A Macro- Evaluation Using Empirical Matching Functions

Fahr

Sunde

2009

German Economic Review

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141

102

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Starting in January 2003, Germany implemented the first two so-called Hartz reforms, followed by the third and fourth packages of Hartz reforms in January 2004 and January 2005, respectively. The aim of these reforms was to accelerate labor market flows and reduce unemployment duration. Without attempting to evaluate the specific components of these Hartz reforms, this paper provides a first attempt to evaluate the overall effectiveness of the first two reform waves, Hartz I/II and III, in speeding up the matching process between unemployed and vacant jobs. The analysis is conceptually rooted in the flow-based view underlying the reforms, estimating the structural features of the matching process. The results indicate that the reforms indeed had an impact in making the labor market more dynamic and accelerating the matching process. Copyright 2009 The Authors. Journal Compilation Verein für Socialpolitik and Blackwell Publishing Ltd.

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“…As a result, the employability of job seekers as well as the probability of vacancies becoming filled might differ (e.g. Anderson and Burgess, 2000; Fahr and Sunde, 2005). In order to take into account job and vacancy competition between different types of vacancies we divide the unemployment and vacancy stocks into groups.…”

Section: Matching In the Labour Market: Models And Datamentioning

confidence: 99%

Matching Inefficiencies, Regional Disparities, and Unemployment

Hynninen

Kangasharju

Pehkonen

2009

Labour

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In this paper we apply a stochastic frontier approach to examine how matching inefficiencies and regional disparities in structural factors contribute to regional and aggregate unemployment. Our results suggest that there would be a substantial decline in aggregate unemployment if (i) all local labour offices operated with full efficiency or (ii) they shared the same structure of job seekers and vacant jobs as the most favourable office. In the former case an increase in hirings would lower the average unemployment rate by 2.4 percentage points. In the latter case the decrease would be 1.4 percentage points. Further, we find that fixed effects are positively correlated with both a more favourable structure and higher efficiency. This suggests that the fixed effects may capture some part of time-invariant features in the structure and inefficiency. Thus, the role of structural factors and inefficiency in regional unemployment disparities may be higher than estimated. Copyright 2009 CEIS, Fondazione Giacomo Brodolini and Blackwell Publishing Ltd.

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Job and vacancy competition in empirical matching functions

Cited by 10 publications

References 7 publications

Job matching across occupational labour markets

Job matching across occupational labour markets

Did the Hartz Reforms Speed-Up the Matching Process? A Macro- Evaluation Using Empirical Matching Functions

Matching Inefficiencies, Regional Disparities, and Unemployment

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