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The relationships between housing quality and occupant health in Uganda

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  • Herrin, William E.
  • Amaral, Michelle M.
  • Balihuta, Arsene M.
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    Abstract

    The Government of Uganda created in 2010 a strategic plan to invest in public health as part of its broader national development goals. The health plan recognizes housing and urbanization as a determinant of health, but has not yet formulated policy to address the relationship. This study can help guide health policy development as it relates to housing. It estimates relationships between housing quality and occupant health using “count outcome” regression models. An economic model of optimal household labor allocation in poor countries provides the foundation for the regression modeling. The data used to estimate the regressions are a stratified random sample of 7096 households surveyed in the 2005–06 Uganda National Household Survey. They provide, among other things, detailed information on physical housing attributes as well as the health status of its occupants. Consistent with the economic model and other empirical work, the results show that exposure to burning of biomass for cooking has the largest adverse health effect. Different definitions of illness yield results consistent with expectations, and a separate specification test suggests that the findings are reasonably robust.

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    Bibliographic Info

    Article provided by Elsevier in its journal Social Science & Medicine.

    Volume (Year): 81 (2013)
    Issue (Month): C ()
    Pages: 115-122

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    Handle: RePEc:eee:socmed:v:81:y:2013:i:c:p:115-122

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    Related research

    Keywords: Uganda; Housing quality; Indoor air pollution; Poisson distribution; Negative binomial regression; Incident rate ratio;

    References

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    1. Herrin, William E. & Knight, John R. & Sirmans, C.F., 2004. "Price cutting behavior in residential markets," Journal of Housing Economics, Elsevier, Elsevier, vol. 13(3), pages 195-207, September.
    2. Sarah Ssewanyana & Stephen D. Younger, 2008. "Infant Mortality in Uganda: Determinants, Trends and the Millennium Development Goals," Journal of African Economies, Centre for the Study of African Economies (CSAE), Centre for the Study of African Economies (CSAE), vol. 17(1), pages 34-61, January.
    3. Smith, Susan J., 1990. "Health status and the housing system," Social Science & Medicine, Elsevier, Elsevier, vol. 31(7), pages 753-762, January.
    4. Fuller, Theodore D. & Edwards, John N. & Sermsri, Santhat & Vorakitphokatorn, Sairudee, 1993. "Housing, stress, and physical well-being: Evidence from Thailand," Social Science & Medicine, Elsevier, Elsevier, vol. 36(11), pages 1417-1428, June.
    5. Jeremy C. Stein & Anil K. Kashyap, 2000. "What Do a Million Observations on Banks Say about the Transmission of Monetary Policy?," American Economic Review, American Economic Association, American Economic Association, vol. 90(3), pages 407-428, June.
    6. Kishan, Ruby P & Opiela, Timothy P, 2000. "Bank Size, Bank Capital, and the Bank Lending Channel," Journal of Money, Credit and Banking, Blackwell Publishing, Blackwell Publishing, vol. 32(1), pages 121-41, February.
    7. Eduardo S. Schwartz & Walter N. Torous, 1993. "Mortgage Prepayment and Default Decisions: A Poisson Regression Approach," Real Estate Economics, American Real Estate and Urban Economics Association, American Real Estate and Urban Economics Association, vol. 21(4), pages 431-449.
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    Cited by:
    1. Yeatts, Dale E. & Pei, Xiaomei & Cready, Cynthia M. & Shen, Yuying & Luo, Hao & Tan, Junxin, 2013. "Village characteristics and health of rural Chinese older adults: Examining the CHARLS Pilot Study of a rich and poor province," Social Science & Medicine, Elsevier, Elsevier, vol. 98(C), pages 71-78.

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