Sorting on-line and on-time

Stefano Banfi, Sekyu Choi and Benjamin Villena-Roldan ()

European Economic Review, 2022, vol. 146, issue C

Abstract: Using proprietary data from a Chilean online job board, we compute sorting between workers and job positions during the application stage (ex ante) and predict sorting in the flow and stock of created matches (ex post) for different type measures. We find strong evidence for positive and procyclical correlations between workers and job types. Since ex ante and ex post sorting are very similar, we conclude that sorting is largely generated at the application stage. This suggests that theoretical models of sorting with directed search are a promising path for future research.

Keywords: Online search; Assortative matching; Labor markets; Applications (search for similar items in EconPapers)
JEL-codes: E24 E32 J24 J60 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Sorting On-line and On-time (2022)
Working Paper: Sorting On-line and On-time (2019)
Working Paper: Sorting On-line and On-time (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eecrev:v:146:y:2022:i:c:s0014292122000630

DOI: 10.1016/j.euroecorev.2022.104128

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