Accounting for Mismatch Unemployment

Herz, Benedikt; Rens, Thijs van

doi:10.1093/jeea/jvz018

Cited by 32 publications

(34 citation statements)

References 41 publications

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“…relates to the aggregate effects of labor market mismatch (see e.g., Sahin et al , 2014, Herz & van Rens, 2018and Marinescu & Rathelot, 2018. Our findings suggest that information frictions may contribute to the mismatch between job seekers and vacancies.…”

Section: Introductionmentioning

confidence: 69%

How Broadband Internet Affects Labor Market Matching

2019

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How the internet affects job matching is not well understood due to a lack of data on job vacancies and quasi-experimental variation in internet use. This paper helps fill this gap using plausibly exogenous roll-out of broadband infrastructure in Norway, and comprehensive data on recruiters, vacancies and job seekers. We document that broadband expansions increased online vacancy-postings and lowered the average duration of a vacancy and the share of establishments with unfilled vacancies. These changes led to higher job-finding rates and starting wages and more stable employment relationships after an unemployment-spell. Consequently, our calculations suggest that the steady-state unemployment rate fell by as much as one-fifth.

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Section: Introductionmentioning

confidence: 69%

How Broadband Internet Affects Labor Market Matching

2019

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“…Apart from skills mismatch, there are also a few types of mismatch like geographic mismatch, which defined as an unwilling from the job seekers to move to another area with better job prospects [28]. Also, mismatch unemployment which referred to it as an imbalance between the distribution of vacancies and unemployed people [14].…”

Section: Geographic Mismatch [15] [28]mentioning

confidence: 99%

A Systematic Literature Review and Analysis of Unemployment Problem and Potential Solutions

Alkatheri¹,

Saad²

2019

IJCA

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Investments in training and education are one of the most important things that can help people acquire the required skills and knowledge for employment. However, in this changing environment, with a lot of emerging technologies, the major challenges facing many people is keeping up with the needed market skills and investing in upskills. This paper presents a comprehensive literature review using a content analysis approach to investigate the reasons for the unemployment problem across many countries and identifies proposed solutions and suggestions to handle this problem and particularly the problem of skills mismatch. The results indicated that the previous solutions were inadequate as they used reactive strategies, thus, people cannot respond quickly to change in the market and acquire the required skills immediately.24 empirical studies that published in peer-reviewed academic journals were considered. Finally, studies that did not mainly concentrate on the unemployment problem were excluded, such as employment mismatch studies as these studies do not answer the research questions. All the previous criteria were used to improve the quality of our systematic literature review.

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“…They find that lower matching efficiency due to mismatch can have significant detrimental effect for unemployment in recessions. Herz and van Rens (2015) push the analysis a step further by identifying several potential driving forces of mismatch unemployment and estimate their relative importance. This paper is complementary to this literature since I quantify evidence of how on very specific channel -workers "waiting" for reemployment since they made specific investments ex-ante -contributes to mismatch unemployment.…”

Section: Related Literaturementioning

confidence: 99%

“…8 That is, SVP captures purely occupation-specific training that is transferable across industries. 5 Competing concepts are to use U.S. states (Topel, 1986;Herz andvan Rens, 2015), counties (Gould et al, 2002), or so-called commuting zones (Tolbert and Killian, 1987;Tolbert and Sizer, 1996;Autor et al, 2013). See the appendix A.2.1 of Dorn (2009) for a detailed discussion of local labor market concepts.…”

Section: Industrial Diversitymentioning

confidence: 99%

“…In this section I use a back-of-the-envelope calculation to quantify how much lower aggregate unemployment would be if all human capital would be perfectly transferable across occupations and workers would therefore not face any mobility cost. Based on my estimates of regression (6), the dispersion of labor market conditions across submarkets as a consequence of mobility cost can be expressed as As shown in Herz and van Rens (2015), the counterfactual (aggregate) job finding probability that would prevail ods 1985-1990 and 2005-2011 in columns (4) and 5, and for labor markets with very low and high industry concentration (1st and 5th quintile) in columns (6) and (7) (again for the period 1985-2011). All counterfactuals depend on the assumed concavity of the matching function µ.…”

Section: Unemploymentmentioning

confidence: 99%

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Specific Human Capital and Wait Unemployment

Herz

2017

SSRN Journal

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A displaced worker might rationally prefer to wait through a long spell of unemployment instead of seeking employment at a lower wage in a job he is not trained for. I evaluate this trade-off using micro-data on displaced workers. To achieve identification, I exploit that the more a worker invested in occupation-specific human capital the more costly it is for him to switch occupations and the higher is therefore his incentive to wait. I find that between 9% and 18% of total unemployment in the United States can be attributed to wait unemployment.

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Accounting for Mismatch Unemployment

Cited by 32 publications

References 41 publications

How Broadband Internet Affects Labor Market Matching

How Broadband Internet Affects Labor Market Matching

A Systematic Literature Review and Analysis of Unemployment Problem and Potential Solutions

Specific Human Capital and Wait Unemployment

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