Occupational licensing and job satisfaction: Evidence from US data

Jianbo Jeff Luo

Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), 2022, vol. 101, issue C

Abstract: This paper is the first to empirically test the relationship between occupational licensing and job satisfaction using nationally representative data. License holders have higher job satisfaction. Using entropy balancing (where the machine learning algorithm Lasso is used for control variable selection) and propensity score matching produces similar results. The underlying mechanisms are discussed.

Keywords: Occupational licensing; Job satisfaction; Entropy balancing; Propensity score matching; Machine learning Lasso (search for similar items in EconPapers)
JEL-codes: I3 J3 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceco:v:101:y:2022:i:c:s221480432200101x

DOI: 10.1016/j.socec.2022.101930

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