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Natural Disasters and Mental Health: A Quantile approach

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  • Nadezhda V. Baryshnikova

    (School of Economics, University of Adelaide)

  • Ngoc T. A. Pham

    (School of Economics, University of Adelaide)

Abstract

Mental health has been recently declared a global priority by the World Bank and World Health Organization. This article investigates heterogeneity in the effect 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 house is zero, the quantile approach reveals that there is a strong negative effect in the lowest two quantiles of the distribution for the non-owners. The results suggest that policies targeted at home owners 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, 2019. "Natural Disasters and Mental Health: A Quantile approach," School of Economics and Public Policy Working Papers 2019-03, University of Adelaide, School of Economics and Public Policy.
    • Handle: RePEc:adl:wpaper:2019-03
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    2. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    3. Nadezhda V. Baryshnikova & Florian Ploeckl & Nasantogtokh Yunren, 2023. "Does Unsatisfactory Subjective Well‐Being of School Children Decrease their Cognitive Skill Development?," The Economic Record, The Economic Society of Australia, vol. 99(S1), pages 50-66, December.
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    6. Awaworyi Churchill, Sefa & Munyanyi, Musharavati Ephraim & Prakash, Kushneel & Smyth, Russell, 2020. "Locus of control and the gender gap in mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 740-758.
    7. Montero, José-María & Naimy, Viviane & Farraj, Nermeen Abi & El Khoury, Rim, 2024. "Natural disasters, stock price volatility in the property-liability insurance market and sustainability: An unexplored link," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
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    13. Awaworyi Churchill, Sefa & Smyth, Russell, 2022. "Locus of control and the mental health effects of local area crime," Social Science & Medicine, Elsevier, vol. 301(C).
    14. Michelle S. Escobar Carías & David W. Johnston & Rachel Knott & Rohan Sweeney, 2022. "Flood disasters and health among the urban poor," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 2072-2089, September.
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    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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