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Estimating the Effects of Social Safety Net Programmes in Bangladesh on Calorie Consumption of Poor Households

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  • MOHAMMAD MAHBUBUR RAHMAN

    (Doctoral Research Fellow, Department of Economics, The University of Manchester, UK)

Abstract

The Social Safety Net (SSN) programmes play a key role in Bangladesh to protect the poor households from food insecurity. This study examines the effect of these programs on calorie consumption of poor households using the 2005 Household Income and Expenditure Survey data. Three treatment effect evaluation designs are applied to compare the estimated effects. Mean difference and matching estimators that do not consider endogeneity of treatment dummy produce significant negative effects when applied to the whole sample. Unconfoundedness and overlap assumptions do not exist and the assumptions are satisfied after dropping some observations using the criteria of propensity score. The effect of the SSN programmes on calorie consumption is estimated in the reduced sample using the same econometric methods, and it is found that there are insignificant positive effects in all cases. However, the treatment dummy has serious endogeneity problem, as selection for treatment is also determined by some unobserved factors such as corruption. In this case, instrumental variables regressions taking regional dummies as instruments that do not have relation with calorie consumption are applied, and produce significant positive average treatment effect.

Suggested Citation

  • Mohammad Mahbubur Rahman, 2012. "Estimating the Effects of Social Safety Net Programmes in Bangladesh on Calorie Consumption of Poor Households," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(2), pages 67-85.
    • Handle: RePEc:ris:badest:0537
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    References listed on IDEAS

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    Cited by:

    1. Cristina Coirolo & Stephen Commins & Iftekharul Haque & Gregory Pierce, 2013. "Climate Change and Social Protection in Bangladesh: Are Existing Programmes Able to Address the Impacts of Climate Change?," Development Policy Review, Overseas Development Institute, vol. 31, pages 74-90, November.

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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