Revisiting the matching function

Kohlbrecher, Britta; Merkl, Christian; Nordmeier, Daniela

doi:10.1016/j.jedc.2016.05.018

Cited by 24 publications

(27 citation statements)

References 56 publications

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“…As in Chugh and Merkl (2016) and Kohlbrecher et al (2016), we assume that workerfirm pairs draw a realization from an idiosyncratic training cost distribution upon contact.…”

Section: Firm Model With Three Hiring Marginsmentioning

confidence: 99%

Recruiting intensity and hiring practices: Cross-sectional and time-series evidence

Lochner

Merkl

Stüber³

et al. 2021

Labour Economics

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Using the German IAB Job Vacancy Survey, we look into the black box of recruiting intensity and hiring practices from the employers' perspective. Our paper evaluates three important channels for hiring -namely vacancy posting, the selectivity of hiring (labor selection), and the number of search channels-through the lens of an undirected search model. Vacancy posting and labor selection show a U-shape over the employment growth distribution.The number of search channels is also upward sloping for growing establishments, but relatively flat for shrinking establishments. We argue that growing establishments react to positive establishment-specific productivity shocks by using all three channels more actively. Furthermore, we connect the fact that shrinking establishments post more vacancies and are less selective than those with a constant workforce to churn triggered by employmentto-employment transitions. In line with our theoretical framework, all three hiring margins are procyclical over the business cycle.

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“…As in Chugh and Merkl (2016) and Kohlbrecher et al (2016), we assume that workerfirm pairs draw a realization from an idiosyncratic training cost distribution upon contact.…”

Section: Firm Model With Three Hiring Marginsmentioning

confidence: 99%

Recruiting intensity and hiring practices: Cross-sectional and time-series evidence

Lochner

Merkl

Stüber³

et al. 2021

Labour Economics

Self Cite

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“…The matching function is assumed to be of the form M = µU γ V 1−γ . We set the match elasticity to γ = 0.65 as in Kohlbrecher, Merkl, and Nordmeier (2016). We target the German monthly job-finding probability of φ = 0.0622 as reported in Ravenna and Schott (2016).…”

Section: Parameterizationmentioning

confidence: 99%

The Employment and Output Effects of Short-Time Work in Germany

Cooper¹,

Meyer²,

Schott³

2017

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This research project has received funding from the European Union's 7th Framework Programme (FP7/2007-2013) under grant agreement 262608, DwB-Data without Boundaries. We declare that we have no relevant or material financial interests that relate to the research described in this paper. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. Findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of the World Bank or any affiliated organizations, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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“…The viability of the assumption of constant returns to scale of the matching function was in depth both empirically and theoretically examined by Petrongolo & Pissarides (2001) with the results that the assumption of constant returns to scale is plausible. Kohlbrecher, Merkl, & Nordmeier (2016) show that the assumption of homogeneity of degree one of the matching function is one of the two possibilities to achieve observed comovements of matches, unemployment and vacancies. Given (2), labor market tightness increases with the increase of vacancy rate or/and decrease of unemployment rate and so does probability of finding a job.…”

Section: The Modelmentioning

confidence: 96%

Estimates of structural unemployment rates at a regional level: example of the Czech economy

Pošta

2018

BEH

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While there are typically plenty of estimates of structural unemployment rate for an economy as a whole, the analysis of this phenomenon at the regional level is rather sparse. Of course, the task is quite different as the concept of structural unemployment as an image of the medium-run or long-run equilibrium of the economy does not need to hold at a regional level. This paper proposes an econometrical approach based on the search theory of the labor market. The generalized method of moments is employed to estimate the so-called stationarized unemployment rates in the fourteen regions of the Czech economy. By comparing the estimates and actually observed levels of unemployment rates, the effects of economic upswings and recessions after the year 2000 may be analyzed. Indeed, from the regional perspective the economic impacts differ substantially in certain periods of time.

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Revisiting the matching function

Cited by 24 publications

References 56 publications

Recruiting intensity and hiring practices: Cross-sectional and time-series evidence

Recruiting intensity and hiring practices: Cross-sectional and time-series evidence

The Employment and Output Effects of Short-Time Work in Germany

Estimates of structural unemployment rates at a regional level: example of the Czech economy

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