2019
DOI: 10.3386/w26231
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Macro Recruiting Intensity from Micro Data

Abstract: At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w26231.ack 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 They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 9 publications
(6 citation statements)
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References 27 publications
(38 reference statements)
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“… We use establishment‐month observations in JOLTS microdata 2002–2018 (see Mongey and Violante (2019)). As in Davis, Faberman, and Haltiwanger (2013), we pool all vacancies, hires, and employment in net monthly growth rate bins of 1% width.…”
mentioning
confidence: 99%
“… We use establishment‐month observations in JOLTS microdata 2002–2018 (see Mongey and Violante (2019)). As in Davis, Faberman, and Haltiwanger (2013), we pool all vacancies, hires, and employment in net monthly growth rate bins of 1% width.…”
mentioning
confidence: 99%
“…a higher number of realized hires per vacancy. More recently, Mongey and Violante (2019) extend the analysis of DFH in the JOLTS data and show that their results hold within establishment size, age and wage groups. 5 DFH's findings have attracted considerable attention as it suggests that firms use other channels to recruit workers if they quickly expand their workforce, and a reduction in aggregate recruiting intensity may be responsible for the shift of the U.S. Beveridge Curve during the Great Recession.…”
Section: Related Empirical Literaturementioning
confidence: 68%
“…In line with the U.S. data, we verify that most of the observed variation in hiring rates along the establishment growth distribution arises from the vacancy yields margin; that is, establishment that grow faster hire more per vacancy. This is a robust relationship that holds after controlling for establishment size, age and industry (see also Mongey and Violante, 2020). We also examine whether the observed characteristics of new hires, such as previous employment status, age or gender vary systematically with the establishments' growth rates, which could potentially contribute to variation of vacancy yields.…”
Section: Introductionmentioning
confidence: 89%