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Multidimensional Sorting under Random Search

Lindenlaub, Ilse; Postel-Vinay, Fabien; (2023) Multidimensional Sorting under Random Search. Journal of Political Economy , 131 (12) pp. 3497-3539. 10.1086/725362.

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Abstract

We analyze sorting in a frictional labor market when workers and jobs have multidimensional characteristics. We say that matching is positive assortative in dimension (j, k) if workers with higher endowment in skill k are matched to a job distribution with higher values of attribute j in the first-order stochastic dominance sense. Crucial for sorting is a single-crossing property of technology. Sorting is positive between worker-job attributes with strong complementarities but negative in other dimensions. Finally, sorting is based on comparative advantage: workers sort into jobs that suit their skill mix rather than their overall skill level.

Type: Article
Title: Multidimensional Sorting under Random Search
DOI: 10.1086/725362
Publisher version: https://doi.org/10.1086/725362
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Economics
URI: https://discovery.ucl.ac.uk/id/eprint/10165348
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