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Occupational licensing and job satisfaction: Evidence from US data

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  • Luo, Jianbo Jeff

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.

Suggested Citation

  • Luo, Jianbo Jeff, 2022. "Occupational licensing and job satisfaction: Evidence from US data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    • Handle: RePEc:eee:soceco:v:101:y:2022:i:c:s221480432200101x
    DOI: 10.1016/j.socec.2022.101930
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    References listed on IDEAS

    as
    1. Samuel J. Ingram, 2019. "Occupational Licensing and the Earnings Premium in the United States: Updated Evidence from the Current Population Survey," British Journal of Industrial Relations, London School of Economics, vol. 57(4), pages 732-763, December.
    2. Jakob Everding & Jan Marcus, 2020. "The effect of unemployment on the smoking behavior of couples," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 154-170, February.
    3. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.
    4. Mario Pagliero, 2019. "Occupational Licensing in the EU: Protecting Consumers or Limiting Competition?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 137-153, August.
    5. Alex Bryson & Morris M. Kleiner, 2019. "Re‐Examining Advances in Occupational Licensing Research: Issues and Policy Implications," British Journal of Industrial Relations, London School of Economics, vol. 57(4), pages 721-731, December.
    6. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    7. Edward J. Timmons & Robert J. Thornton, 2019. "There and Back Again: The De‐Licensing and Re‐Licensing of Barbers in Alabama," British Journal of Industrial Relations, London School of Economics, vol. 57(4), pages 764-790, December.
    8. Jianbo Jeff Luo, 2022. "Is Work a Burden? The Role of the Living Standard," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 61-77, August.
    9. Luo, Jianbo, 2021. "Happiness adaptation to high income: Evidence from German panel data," Economics Letters, Elsevier, vol. 206(C).
    10. Jianbo Jeff Luo, 2022. "Is Happiness Adaptation to Poverty Limited? The Role of Reference Income," Journal of Happiness Studies, Springer, vol. 23(6), pages 2491-2516, August.
    11. Jianbo Luo, 2020. "A Pecuniary Explanation for the Heterogeneous Effects of Unemployment on Happiness," Journal of Happiness Studies, Springer, vol. 21(7), pages 2603-2628, October.
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    More about this item

    Keywords

    Occupational licensing; Job satisfaction; Entropy balancing; Propensity score matching; Machine learning Lasso;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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