[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/wly/quante/v11y2020i1p231-275.html
   My bibliography  Save this article

A dynamic model of personality, schooling, and occupational choice

Author

Listed:
  • Petra E. Todd
  • Weilong Zhang
Abstract
This paper develops a dynamic model of schooling and occupational choices that incorporates personality traits, as measured by the “big five” traits. The model is estimated using the HILDA dataset from Australia. Personality traits are found to play an important role in explaining education and occupation choices over the lifecycle. Results show that individuals with a comparative advantage in schooling and white‐collar work have, on average, higher cognitive skills and higher personality trait scores. Allowing personality traits to evolve with age and with schooling proves to be important to capturing the heterogeneity in how people respond to educational policies. The estimated model is used to evaluate two education policies: compulsory senior secondary school and a 50% college tuition subsidy. Both policies increase educational attainment and also affect personality traits.

Suggested Citation

  • Petra E. Todd & Weilong Zhang, 2020. "A dynamic model of personality, schooling, and occupational choice," Quantitative Economics, Econometric Society, vol. 11(1), pages 231-275, January.
    • Handle: RePEc:wly:quante:v:11:y:2020:i:1:p:231-275
    DOI: 10.3982/QE890
    as

    Download full text from publisher

    File URL: https://doi.org/10.3982/QE890
    Download Restriction: no
    File URL: https://libkey.io/10.3982/QE890?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Belzil & Jörgen Hansen, 2020. "The evolution of the US family income–schooling relationship and educational selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 841-859, November.
    2. Tushar Bharati & Thea Harpley Green, 2021. "Age at school transition and children’s cognitive and non-cognitive outcomes," Economics Discussion / Working Papers 21-06, The University of Western Australia, Department of Economics.
    3. James J. Heckman & Tomáš Jagelka & Timothy D. Kautz, 2019. "Some Contributions of Economics to the Study of Personality," NBER Working Papers 26459, National Bureau of Economic Research, Inc.
    4. Buser, Thomas & Ahlskog, Rafael & Johannesson, Magnus & Koellinger, Philipp & Oskarsson, Sven, 2023. "Using Genes to Explore the Relationship of Cognitive and Non-cognitive Skills with Education and Labor Market Outcomes," IZA Discussion Papers 16125, Institute of Labor Economics (IZA).
    5. French, Eric Baird & O’Dea, Cormac & MacCuish, Jamie, 2021. "The Intergenerational Elasticity of Earnings: Exploring the Mechanisms," CEPR Discussion Papers 15975, C.E.P.R. Discussion Papers.
    6. Flinn, C. & Todd, P. & Zhang, W., 2020. "Personality Traits, Job Search and the Gender Wage Gap," Cambridge Working Papers in Economics 2053, Faculty of Economics, University of Cambridge.
    7. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Philipp Koellinger & Sven Oskarsson, 2021. "Using Genes to Explore the Effects of Cognitive and Non-cognitive Skills on Education and Labor Market Outcomes," Tinbergen Institute Discussion Papers 21-088/I, Tinbergen Institute, revised 29 Mar 2023.
    8. Chuan, Amanda & Zhang, Weilong, 2023. "Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," IZA Discussion Papers 16089, Institute of Labor Economics (IZA).
    9. Oliver Cassagneau-Francis, 2022. "Revisiting the Returns to Higher Education: Heterogeneity by Cognitive and Non-Cognitive Abilities," SciencePo Working papers Main hal-04067399, HAL.
    10. Dante Amengual & Jesús Bueren & Julio A. Crego, 2021. "Endogenous health groups and heterogeneous dynamics of the elderly," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 878-897, November.
    11. Warn N. Lekfuangfu & Grace Lordan, 2023. "Documenting occupational sorting by gender in the UK across three cohorts: does a grand convergence rely on societal movements?," Empirical Economics, Springer, vol. 64(5), pages 2215-2256, May.
    12. Sreevidya Ayyar & Uta Bolt & Eric French & Cormac O'Dea, 2024. "Imagine your life at 25: Gender conformity and later-life outcomes," IFS Working Papers W24/32, Institute for Fiscal Studies.
    13. Christian Belzil & Jörgen Hansen, 2020. "Reconciling Changes in Wage Inequality With Changes in College Selectivity Using a Behavioral Model," CIRANO Working Papers 2020s-36, CIRANO.
    14. James J. Heckman & Bridget Galaty & Haihan Tian, 2023. "The Economic Approach to Personality, Character and Virtue," NBER Working Papers 31258, National Bureau of Economic Research, Inc.
    15. de New, Sonja C. & Schurer, Stefanie & Sulzmaier, Dominique, 2021. "Gender differences in the lifecycle benefits of compulsory schooling policies," European Economic Review, Elsevier, vol. 140(C).
    16. AndrÉ van Hoorn, 2022. "Automatability of Work and Preferences for Redistribution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 130-157, February.
    17. Chuan, A. & Zhang, W., 2021. "Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," Cambridge Working Papers in Economics 2177, Faculty of Economics, University of Cambridge.
    18. Kosse, Fabian & Tincani, Michaela M., 2020. "Prosociality predicts labor market success around the world," Munich Reprints in Economics 75115, University of Munich, Department of Economics.
    19. Gast'on P. Fern'andez, 2023. "Does personality affect the allocation of resources within households?," Papers 2307.02918, arXiv.org.

    More about this item

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:quante:v:11:y:2020:i:1:p:231-275. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.