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Estimating the Average Treatment Effect of Social Safety Net Programmes in Bangladesh

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  • Mohammad Mahbubur Rahman

Abstract

Since the famine in 1974, the Bangladesh government and some national and international agencies have been providing food, or cash, or both, to poor households through the Social Safety Net programmes. I seek to estimate how much these programmes affect the well-being of poor households. Most previous studies have estimated impacts of these programmes on calorie consumption, simply computing the raw differential. However, both observed and unobserved characteristics bias this treatment effect. Using fuzzy regression discontinuity (RD) design, I control for these selection effects.

Suggested Citation

  • Mohammad Mahbubur Rahman, 2014. "Estimating the Average Treatment Effect of Social Safety Net Programmes in Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 50(11), pages 1550-1569, November.
    • Handle: RePEc:taf:jdevst:v:50:y:2014:i:11:p:1550-1569
    DOI: 10.1080/00220388.2014.887688
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    References listed on IDEAS

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    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    2. Adebayo B. Aromolaran, 2004. "Intra-Household Redistribution of Income and Calorie Consumption in South-Western Nigeria," Working Papers 890, Economic Growth Center, Yale University.
    3. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    4. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    5. Aromolaran, Adebayo B., 2004. "Intra-Household Redistribution of Income and Calorie Consumption in South-Western Nigeria," Center Discussion Papers 28450, Yale University, Economic Growth Center.
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    Cited by:

    1. Emmanuel Okewu & Sanjay Misra & Jonathan Okewu & Robertas Damaševičius & Rytis Maskeliūnas, 2019. "An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net," Administrative Sciences, MDPI, vol. 9(3), pages 1-14, August.

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