The Impact on Child Health from Access to Water and Sanitation and Other Socioeconomic Factors
AbstractIn this paper we examine the impacts on child health, using diarrhoe as the health outcome (amongst children living in households), with access to different types of water and sanitation facilities, and from other socio-econoic and child specific factors. Using cross-sectional health survey data for India, we employ the propensity score method to match children belonging to different treatment groups, defined by water types and sanitation facilities, with children in a control group. We also employ non-matching techniques to compare our results and to check for their robustness. Our results indicate that disease-specific awareness has strong marginal effects on reducing the predicted probabilities of diarrhoeal outcomes in young children, which are consistent across the models utilised. We also find disease-specific awareness to have the largest impact on reducing the burden of disease from diarrhoea across a select group of predictors.
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Bibliographic InfoPaper provided by Economics Section, The Graduate Institute of International Studies in its series IHEID Working Papers with number 02-2008.
Date of creation: Jan 2008
Date of revision: Jan 2008
Diarrhoea; Water; Sanitation; Propensity Score; Matching Techniques;
Find related papers by JEL classification:
- I1 - Health, Education, and Welfare - - Health
- D1 - Microeconomics - - Household Behavior
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
Econometric Society, vol. 66(5), pages 1017-1098, September.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
- Lokshin, Michael & Yemtsov, Ruslan, 2003. "Evaluating the impact of infrastructure rehabilitation projects on household welfare in rural Georgia," Policy Research Working Paper Series 3155, The World Bank.
- Jyotsna Jalan & E. Somanathan & Saraswata Choudhuri, .
"Awareness and the Demand for Environmental Quality: Drinking Water in Urban India,"
77, The South Asian Network for Development and Environmental Economics.
- Jyotsna Jalan & E.Somanathan & Saraswata Chaudhuri, 2003. "Awareness and the demand for environmental quality: Drinking water in urban India," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 03-05, Indian Statistical Institute, New Delhi, India.
- Harrington, Winston & Portney, Paul R., 1987. "Valuing the benefits of health and safety regulation," Journal of Urban Economics, Elsevier, vol. 22(1), pages 101-112, July.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- Dasgupta, Purnamita, 2004. "Valuing health damages from water pollution in urban Delhi, India: a health production function approach," Environment and Development Economics, Cambridge University Press, vol. 9(01), pages 83-106, February.
- Menno Pradhan & Laura B. Rawlings, 2002. "The Impact and Targeting of Social Infrastructure Investments: Lessons from the Nicaraguan Social Fund," World Bank Economic Review, World Bank Group, vol. 16(2), pages 275-295, August.
- Cebu Study Team, 1992. "A child health production function estimated from longitudinal data," Journal of Development Economics, Elsevier, vol. 38(2), pages 323-351, April.
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
- Jyotsna Jalan & Martin Ravallion, 2000.
"Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching,"
Econometric Society World Congress 2000 Contributed Papers
0873, Econometric Society.
- Jalan, Jyotsna & Ravallion, Martin, 2003. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 19-30, January.
- Rao, Vijayendra & Ibanez, Ana Maria, 2003. "The social impact of social funds in Jamaica - a mixed-methods analysis of participation, targeting, and collective action in community-driven development," Policy Research Working Paper Series 2970, The World Bank.
- Filmer, Deon & Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
- Harrington, Winston & Krupnick, Alan J. & Spofford, Walter Jr., 1989. "The economic losses of a waterborne disease outbreak," Journal of Urban Economics, Elsevier, vol. 25(1), pages 116-137, January.
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