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Heterogeneity in the Relationship between Natural Disasters and Mental Health: A Quantile Approach

Author

Listed:
  • Nadezhda V. Baryshnikova

    (School of Economics, University of Adelaide)

  • Ngoc T.A. Pham

    (School of Architecture and Built Environment, University of Adelaide.)

Abstract

Mental health has been recently declared a global priority by the World Bank and World Health Organization. This article investigates the existence of heterogeneous effects of experiencing natural disasters on mental health. Using population representative longitudinal data from Australia, we find that home owners generally show a reduction in mental health score after a disaster. While the average effect for those that do not own a home is zero, surprisingly, the quantile treatment panel approach reveals the existence of a strong effect that varies from negative to positive across the distribution of mental health. The results suggest that policies targeted at homeowners and the lowest mental health non-owners (rather than only at the economically poorest) would help mitigate mental health consequences attributable to natural disaster exposure.

Suggested Citation

  • Nadezhda V. Baryshnikova & Ngoc T.A. Pham, 2018. "Heterogeneity in the Relationship between Natural Disasters and Mental Health: A Quantile Approach," School of Economics and Public Policy Working Papers 2018-13, University of Adelaide, School of Economics and Public Policy.
  • Handle: RePEc:adl:wpaper:2018-13
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    File URL: https://media.adelaide.edu.au/economics/papers/doc/wp2018-13.pdf
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    Citations

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    Cited by:

    1. Nicholas Gunby & Tom Coupé, 2023. "Weather-Related Home Damage and Subjective Well-Being," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 409-438, February.
    2. Mauricio Sarrias & Benjamin Jara, 2020. "How Much Should We Pay for Mental Health Deterioration? The Subjective Monetary Value of Mental Health After the 27F Chilean Earthquake," Journal of Happiness Studies, Springer, vol. 21(3), pages 843-875, March.

    More about this item

    Keywords

    quantile treatment effects; mental health; disasters; home owners; panel data;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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