2015
DOI: 10.2139/ssrn.2612323
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Opening the Black Box of the Matching Function: The Power of Words

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Cited by 15 publications
(17 citation statements)
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References 7 publications
(11 reference statements)
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“…Our paper adds to a growing literature on the analysis of text in job vacancies. Marinescu and Wolthoff (2016) use job titles to explain more of the wage variance in US job vacancies in 2011 than SOC codes alone do. Deming and Kahn (2017) use job vacancy descriptions that have been processed into keywords to define general skills that have explanatory power for both pay and firm performance beyond the usual labour market classifications.…”
Section: Literaturementioning
confidence: 99%
“…Our paper adds to a growing literature on the analysis of text in job vacancies. Marinescu and Wolthoff (2016) use job titles to explain more of the wage variance in US job vacancies in 2011 than SOC codes alone do. Deming and Kahn (2017) use job vacancy descriptions that have been processed into keywords to define general skills that have explanatory power for both pay and firm performance beyond the usual labour market classifications.…”
Section: Literaturementioning
confidence: 99%
“…They find that the regional rather than the occupational mismatch play a bigger role in explaining the productivity statistics. Using data from CareerBuilder.com, Marinescu and Wolthoff (2020) find that job titles explain over 90% of the wage variance. The Indeed data, featured in our paper, have been used in labor market research.…”
Section: Introductionmentioning
confidence: 99%
“…Marinescu and Wolthoff (2020) show that the relationship between wages and applications is more complex when more general patterns of heterogeneity are considered. In particular, the positive relationship only holds after controlling for job-titles, which can be accommodated by the segmented labor markets assumption of the model.16 An alternative sorting mechanism is to assume idiosyncratic logit preferences for firms(Card et al, 2018).…”
mentioning
confidence: 99%