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WASH for child health: Some evidence in support of public intervention in the Philippines

Author

Listed:
  • Joseph J. Capuno

    (School of Economics, University of the Philippines Diliman)

  • Carlos Antonio R. Tan, Jr.

    (School of Economics, University of the Philippines Diliman)

  • Xylee Javier

    (School of Economics, University of the Philippines Diliman)

Abstract

Like in many developing countries, diarrheal diseases remain a top cause of child mortality and morbidity in the Philippines. Partly to address this problem, the government has undertaken programs to expand access to safe water and sanitation facilities, especially among poor households. To assess the impact of such interventions on child health, we apply propensity score matching technique on the pooled data from the last five rounds of the National Demographic and Health Survey. We find that improved water and improved sanitation each reduced the probability of child diarrhea in 1993-2008 by around two percentage points. In 2013, improved water reduced the probability by about 7 percentage points, while improved sanitation do not seem to have statistically significant effect. These results lend support to the government’s programs to widen access to safe water and sanitation facilities as measures to improve child health.

Suggested Citation

  • Joseph J. Capuno & Carlos Antonio R. Tan, Jr. & Xylee Javier, 2016. "WASH for child health: Some evidence in support of public intervention in the Philippines," UP School of Economics Discussion Papers 201611, University of the Philippines School of Economics.
    • Handle: RePEc:phs:dpaper:201611
    as

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    File URL: http://www.econ.upd.edu.ph/dp/index.php/dp/article/view/1498
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    References listed on IDEAS

    as
    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    3. Jose Cuesta, 2007. "Child Malnutrition and the Provision of Water and Sanitation in the Philippines," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 12(2), pages 125-157.
    4. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    5. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    6. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    7. Santosh Kumar & Sebastian Vollmer, 2013. "Does Access To Improved Sanitation Reduce Childhood Diarrhea In Rural India?," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 410-427, April.
    8. Daniel Bennett, 2012. "Does Clean Water Make You Dirty?: Water Supply and Sanitation in the Philippines," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 146-173.
    9. Ganesh Rauniyar & Aniceto Orbeta & Guntur Sugiyarto, 2011. "Impact of water supply and sanitation assistance on human welfare in rural Pakistan," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(1), pages 62-102.
    10. Michael Kremer & Alix Peterson Zwane, 2007. "Cost-Effective Prevention of Diarrheal Diseases: A Critical Review," Working Papers 117, Center for Global Development.
    11. Victoria Yue-May Fan & Ajay Mahal, 2011. "What prevents child diarrhoea? The impacts of water supply, toilets, and hand-washing in rural India," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(3), pages 340-370, September.
    12. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    More about this item

    Keywords

    Water and sanitation; child health; Philippines;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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