Occupational licensing and job satisfaction: Evidence from US data*

被引:1
作者
Luo, Jianbo Jeff [1 ]
机构
[1] SUNY Buffalo, Dept Econ, Buffalo, NY 14260 USA
关键词
Occupational licensing; Job satisfaction; Entropy balancing; Propensity score matching; Machine learning Lasso;
D O I
10.1016/j.socec.2022.101930
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
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页数:5
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