Sorting On-line and On-time

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

MPRA Paper from University Library of Munich, Germany

Abstract: Using proprietary data from a Chilean online job board, we find strong, positive assortative matching at the worker-position level, both along observed dimensions and on unobserved characteristics (OLS Mincer residual wages). We also find that this positive assortative matching is robustly procyclical. Since we use information on job applications instead of final matches, we use the generalized deferred-acceptance algorithm to simulate tentative final allocations. Under all considered scenarios for the algorithm, positive assortative matching is preserved from the application stage to the realized matches.

Keywords: Online search; assortative matching; labor markets; business cycle (search for similar items in EconPapers)
JEL-codes: E24 E32 J24 J60 (search for similar items in EconPapers)
Date: 2019-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Sorting on-line and on-time (2022)
Working Paper: Sorting On-line and On-time (2022)
Working Paper: Sorting On-line and On-time (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:91763

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