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Does Internal Locus of Control Get You Out of Homelessness?

Author

Listed:
  • Budría, Santiago

    (Universidad Nebrija)

  • Betancourt-Odio, Alejandro

    (Universidad Pontificia Comillas)

  • Wirth, Eszter

    (Universidad Pontificia Comillas)

Abstract

This paper examines the role of internal locus of control in shaping transitions into homelessness. The data is taken from a longitudinal Australian dataset drawn from a sample of vulnerable individuals. The results, based on a Wooldridge Conditional Maximum Likelihood (WCML) estimator, show that individuals high in internal locus of control are significantly less likely to enter a homeless episode.

Suggested Citation

  • Budría, Santiago & Betancourt-Odio, Alejandro & Wirth, Eszter, 2023. "Does Internal Locus of Control Get You Out of Homelessness?," IZA Discussion Papers 16242, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16242
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    References listed on IDEAS

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    1. Etilé, Fabrice & Frijters, Paul & Johnston, David W. & Shields, Michael A., 2021. "Measuring resilience to major life events," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 598-619.
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    3. Marco Caliendo & Deborah A. Cobb-Clark & Cosima Obst & Helke Seitz & Arne Uhlendorff, 2022. "Locus of Control and Investment in Training," Journal of Human Resources, University of Wisconsin Press, vol. 57(4), pages 1311-1349.
    4. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    5. Cobb-Clark, Deborah A. & Herault, Nicolas & Scutella, Rosanna & Tseng, Yi-Ping, 2016. "A journey home: What drives how long people are homeless?," Journal of Urban Economics, Elsevier, vol. 91(C), pages 57-72.
    6. Bonsang, Eric & Costa-Font, Joan, 2022. "Buying control? ‘Locus of control’ and the uptake of supplementary health insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 476-489.
    7. Jeffrey M. Wooldridge, 2005. "Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 385-390, May.
    8. Deborah A. Cobb‐Clark & Stefanie Schurer, 2013. "Two Economists' Musings on the Stability of Locus of Control," Economic Journal, Royal Economic Society, vol. 0, pages 358-400, August.
    9. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
    10. Alexander Chudik & M. Hashem Pesaran, 2022. "An augmented Anderson–Hsiao estimator for dynamic short-T panels†," Econometric Reviews, Taylor & Francis Journals, vol. 41(4), pages 416-447, April.
    11. Deborah A Cobb-Clark & Nathan Kettlewell, 2021. "Psychological, social and cognitive resources and the mental wellbeing of the poor," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-13, October.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Andrew E Clark & Rong Zhu, 2024. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," The Economic Journal, Royal Economic Society, vol. 134(660), pages 1465-1493.
    2. Budría, Santiago & García-Gómez, César, 2025. "Persisting Disadvantages: A Study of the Dynamics of Cumulative Deprivation," IZA Discussion Papers 17908, Institute of Labor Economics (IZA).

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    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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