IDEAS home Printed from https://ideas.repec.org/p/ese/cempwp/cempa2-23.html
   My bibliography  Save this paper

The relationship between the Big Five personality traits and earnings: evidence from a meta analysis

Author

Listed:
  • Vella, Melchior

Abstract

The role and importance of personality traits in determining labour market outcomes remain largely contested. This meta-analytic review addresses the question of whether the Big Five traits are related to earnings. A comprehensive literature search identified 52 studies that met the inclusion criteria (1,307 regression coefficients). The findings indicate that Openness to Experience, Conscientiousness and Extraversion are positively correlated with earnings, while Agreeableness and Neuroticism are inversely correlated with earnings. The study finds that the magnitudes of the earnings effects are modest to small, show a high degree of heterogeneity and are largely scaled down after accounting for publication bias. The main contributors to the observed heterogeneity are identified as being socioeconomic background, occupation, cognitive ability, and educational attainment. The study suggests that environmental factors play an important role in the relationship between personality traits and earnings, so omitting relevant factors from the empirical model could lead to omitted variable bias in the estimates.

Suggested Citation

  • Vella, Melchior, 2023. "The relationship between the Big Five personality traits and earnings: evidence from a meta analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
  • Handle: RePEc:ese:cempwp:cempa2-23
    as

    Download full text from publisher

    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/cempa/cempa2-23.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    2. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
    3. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    4. Jan R. Magnus & Giuseppe De Luca, 2016. "Weighted-Average Least Squares (Wals): A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 117-148, February.
    5. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mattia Filomena & Matteo Picchio, 2023. "Retirement and health outcomes in a meta‐analytical framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1120-1155, September.
    2. Iwasaki, Ichiro, 2022. "The finance-growth nexus in Latin America and the Caribbean: A meta-analytic perspective," World Development, Elsevier, vol. 149(C).
    3. Georgios Magkonis & Kalliopi‐Maria Zekente & Vasilios Logothetis, 2021. "Does the Left Spend More? An Econometric Survey of Partisan Politics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1077-1099, August.
    4. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    5. Mariarosaria Comunale & Francesco Paolo Mongelli, 2019. "Euro Area Growth and European Institutional Reforms," Bank of Lithuania Occasional Paper Series 24, Bank of Lithuania.
    6. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    7. Iwasaki, Ichiro & Satogami, Mihoko, 2023. "Gender wage gap in European emerging markets: a meta-analytic perspective," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-9.
    8. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    9. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
    10. De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2018. "Weighted-average least squares estimation of generalized linear models," Journal of Econometrics, Elsevier, vol. 204(1), pages 1-17.
    11. Amar Anwar & Ichiro Iwasaki, 2022. "Institutions and FDI from BRICS countries: a meta-analytic review," Empirical Economics, Springer, vol. 63(1), pages 417-468, July.
    12. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    13. Rockey, James & Temple, Jonathan, 2016. "Growth econometrics for agnostics and true believers," European Economic Review, Elsevier, vol. 81(C), pages 86-102.
    14. HORIE, Norio & IWASAKI, Ichiro & KUPETS, Olga & MA, Xinxin & MIZOBATA, Satoshi & SATOGAMI, Mihoko, 2023. "Wage Functions in China and Eastern Europe : A Large-Scale Comparative Meta Analysis," CEI Working Paper Series 2022-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    15. De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
    16. Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2012. "A generalized missing-indicator approach to regression with imputed covariates," Stata Journal, StataCorp LP, vol. 12(4), pages 575-604, December.
    17. Mariarosaria Comunale, 2020. "The persistently high rate of suicide in Lithuania: an updated view," Bank of Lithuania Discussion Paper Series 21, Bank of Lithuania.
    18. Mariarosaria Comunale & Francesco Paolo Mongelli, 2021. "Tracking growth in the euro area subject to a dimensionality problem," Applied Economics, Taylor & Francis Journals, vol. 53(57), pages 6611-6625, December.
    19. Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana, 2021. "Student Employment and Education: A Meta-Analysis," EconStor Preprints 240905, ZBW - Leibniz Information Centre for Economics.
    20. Sanghyun Hong & W. Robert Reed, 2020. "Using Monte Carlo Experiments to Select Meta-Analytic Estimators," Working Papers in Economics 20/10, University of Canterbury, Department of Economics and Finance.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ese:cempwp:cempa2-23. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Jonathan Nears (email available below). General contact details of provider: https://edirc.repec.org/data/rcessuk.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.