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Too Much of a Good Thing? Exploring the Impact of Wealth on Weight

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  • Nicole Au
  • David W. Johnston

Abstract

Obesity, like many health conditions, is more prevalent among the socioeconomically disadvantaged. In our data, very poor women are three times more likely to be obese and five times more likely to be severely obese than rich women. Despite this strong correlation, it remains unclear whether higher wealth causes lower obesity. In this paper, we use nationally representative panel data and exogenous wealth shocks (primarily inheritances and lottery wins) to shed light on this issue. Our estimates show that wealth improvements increase weight for women, but not men. This effect differs by initial wealth and weight—an average‐sized wealth shock received by initially poor and obese women is estimated to increase weight by almost 10 lb. Importantly, for some females, the effects appear permanent. We also find that a change in diet is the most likely explanation for the weight gain. Overall, the results suggest that additional wealth may exacerbate rather than alleviate weight problems. Copyright © 2014 John Wiley & Sons, Ltd.

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  • Nicole Au & David W. Johnston, 2015. "Too Much of a Good Thing? Exploring the Impact of Wealth on Weight," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1403-1421, November.
  • Handle: RePEc:wly:hlthec:v:24:y:2015:i:11:p:1403-1421
    DOI: 10.1002/hec.3094
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    2. Shi, Xuezhu, 2022. "The health-wealth nexus for the elderly: Evidence from the booming housing market in China," Labour Economics, Elsevier, vol. 78(C).
    3. Lebihan, Laetitia & Mao Takongmo, Charles-Olivier, 2019. "Unconditional cash transfers and parental obesity," Social Science & Medicine, Elsevier, vol. 224(C), pages 116-126.
    4. Johnston, David W. & Önder, Yasin Kürşat & Rahman, Muhammad Habibur & Ulubaşoğlu, Mehmet A., 2021. "Evaluating wildfire exposure: Using wellbeing data to estimate and value the impacts of wildfire," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 782-798.
    5. Joan Costa-Font & Mario Györi, 2023. "Income windfalls and overweight: evidence from lottery wins," Empirical Economics, Springer, vol. 64(5), pages 2005-2026, May.
    6. Paul McNamee & Silvia Mendolia & Oleg Yerokhin, 2021. "The transmission of partner mental health to individual life satisfaction: Estimates from a longitudinal household survey," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(4), pages 494-516, September.
    7. Elena Andreyeva & Benjamin Ukert, 2018. "The impact of the minimum wage on health," International Journal of Health Economics and Management, Springer, vol. 18(4), pages 337-375, December.
    8. Mendolia, Silvia & McNamee, Paul & Yerokhin, Oleg, 2018. "The Transmission of Mental Health within Households: Does One Partner's Mental Health Influence the Other Partner's Life Satisfaction?," IZA Discussion Papers 11431, Institute of Labor Economics (IZA).
    9. Ong, Rachel & Nguyen, Toan & Kendall, Garth, 2018. "The impact of intergenerational financial transfers on health and wellbeing outcomes: A longitudinal study," Social Science & Medicine, Elsevier, vol. 214(C), pages 179-186.
    10. Kettlewell, Nathan, 2019. "Risk preference dynamics around life events," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 66-84.
    11. Ann Evans, 2021. "Reflecting on 21 Years of the HILDA Survey," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 462-468, December.

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