Opening the Black Box of the Matching Function: The Power of Words

Marinescu, Ioana; Wolthoff, Ronald P.

doi:10.1086/705903

Cited by 124 publications

(91 citation statements)

References 58 publications

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“…This is in line with recent work by Pries & Rogerson (2019) who argue that improvements in employer screening (i.e. online employment tests) can explain the observed fall in job-to-job mobility in the U.S. Another implication 7 Interestingly, Atasoy (2013) finds a strong association between internet access and employment in the U.S. 8 This is broadly consistent with evidence from survey data or online platforms showing that vacancies postings with higher wages receive more applications (e.g., Wolthoff, 2016 andBanfi &Villena-Roldan, 2018). Other related studies of vacancy posting behavior use survey data (e.g., Holzer et al , 1991, van Ours & Ridder, 1991, Van Ours & Ridder, 1992, Burdett & Cunningham, 1998, Davis et al , 2014, Faberman & Menzio, 2018, or microdata from online job boards (e.g., Barron et al , 1997, Modestino et al , 2016, Hershbein & Kahn, 2018.…”

Section: Introductionmentioning

confidence: 78%

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: 78%

How Broadband Internet Affects Labor Market Matching

2019

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“…We now address the representativity of the data. Background work (Marinescu and Wolthoff, 2015) was done to compare the industry distribution of job vacancies in CareerBuilder.com with the distribution in Job Openings and Labor Turnover Survey (JOLTS). Compared to the distribution of vacancies across industries in JOLTS, some industries are overrepresented in Ca-reerBuilder data, in particular information technology, finance and insurance, and real estate, rental and leasing.…”

Section: Datamentioning

confidence: 99%

Mismatch Unemployment and the Geography of Job Search

Marinescu

Rathelot

2018

American Economic Journal: Macroeconomics

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Could we significantly reduce U.S. unemployment by helping job seekers move closer to jobs? Using data from the leading employment board CareerBuilder.com, we show that, indeed, workers dislike applying to distant jobs: job seekers are 35% less likely to apply to a job 10 miles away from their ZIP code of residence. However, because job seekers are close enough to vacancies on average, this distaste for distance is fairly inconsequential: our search and matching model predicts that relocating job seekers to minimize unemployment would decrease unemployment by only 5.3%. Geographic mismatch is thus a minor driver of aggregate unemployment.

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“…DFH; van Ours and Ridder (1991); van Ours and Ridder (1992); Holzer (1994); Gorter, Nijkamp and Rietveld (1996); Burdett and Cunningham (1998); Dickerson (2003); Davis, Röttger, Warning and Weber (2014); Faberman and Menzio (2018)) or online job board data (e.g. Barron, Berger and Black (1999); Banfi and Villena-Roldan (2016); Marinescu and Wolthoff (2016); Marinescu (2017); Modestino, Shoag and Ballance (2017); Hershbein and Kahn (2018); see also Kuhn (2014) for a general discussion of internet job search). A few earlier studies also use administrative data on vacancies, e.g.…”

Section: Related Empirical Literaturementioning

confidence: 99%

Vacancy Durations and Entry Wages: Evidence from Linked Vacancy-Employer-Employee Data

Kettemann

Mueller

Zweimüller

2018

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This paper explores the relationship between the duration of a vacancy and the starting wage of a new job, using unusually informative data comprising detailed information on vacancies, the establishments posting the vacancies, and the workers eventually filling the vacancies. We find that vacancy durations are negatively correlated with the starting wage and that this negative association is particularly strong with the establishment component of the starting wage. We also confirm previous findings that growing establishments fill their vacancies faster. To understand the relationship between establishment growth, vacancy filling and entry wages, we calibrate a model with directed search and ex-ante heterogeneous workers and firms. We find a strong tension between matching the sharp increase in vacancy filling for growing firms and the response of vacancy filling to firm-level wages. We discuss the implications of this finding as well as potential resolutions.

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Opening the Black Box of the Matching Function: The Power of Words

Cited by 124 publications

References 58 publications

How Broadband Internet Affects Labor Market Matching

How Broadband Internet Affects Labor Market Matching

Mismatch Unemployment and the Geography of Job Search

Vacancy Durations and Entry Wages: Evidence from Linked Vacancy-Employer-Employee Data

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