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The medium-term impact of the primary education stipend in rural Bangladesh

  • Baulch, Bob
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    This paper investigates the long-term impact of Bangladesh�s Primary Education Stipend (PES) program on a range of individual and household welfare measures using a unique longitudinal study spanning the years 2000 to 2006. Using covariate and propensity score matching and difference-in-difference methods, the program is shown to have negligible impacts on school enrollments, household expenditures, calorie consumption, and protein consumption. At the individual level, the PES has a negative impact on grade progression, especially among boys from poor households who are ineligible to receive stipends at the secondary level. The program does, however, lead to improvements in height for age among girls and body mass index among boys. Nonetheless, the impacts of the PES are remarkably small for a program of its size. Poor targeting combined, in particular the program’s limited coverage and lack of geographical targeting, plus the declining real value of the stipend are the most plausible reasons for this lack of impact.

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    Paper provided by International Food Policy Research Institute (IFPRI) in its series IFPRI discussion papers with number 976.

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    Date of creation: 2010
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    Handle: RePEc:fpr:ifprid:976
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    1. Gilligan, Daniel O. & Hoddinott, John & Taffesse, Alemayehu Seyoum, 2008. "The impact of Ethiopia's Productive Safety Net Programme and its linkages:," IFPRI discussion papers 839, International Food Policy Research Institute (IFPRI).
    2. Ahmed, Akhter U. & del Ninno, Carlo, 2002. "The Food For Education program in Bangladesh," FCND discussion papers 138, International Food Policy Research Institute (IFPRI).
    3. Parker, Susan W. & Rubalcava, Luis & Teruel, Graciela, 2008. "Evaluating Conditional Schooling and Health Programs," Handbook of Development Economics, Elsevier.
    4. Giovanni Andrea Cornia & Frances Stewart, 1993. "Two Errors of Targeting," Papers iopeps93/54, Innocenti Occasional Papers, Economic Policy Series.
    5. Richard Palmer-Jones, 2010. "Handbook on impact evaluation: quantitative methods and practices, by S.R. Khandker, G.B. Koolwal and H.A. Samad," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 2(3), pages 387-390.
    6. 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.
    7. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
    8. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693.
    9. Al-Samarrai, Samer, 2007. "Financing basic education in Bangladesh," MPRA Paper 1505, University Library of Munich, Germany.
    10. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    11. Ariel Fiszbein & Norbert Schady & Francisco H.G. Ferreira & Margaret Grosh & Niall Keleher & Pedro Olinto & Emmanuel Skoufias, 2009. "Conditional Cash Transfers : Reducing Present and Future Poverty," World Bank Publications, The World Bank, number 2597.
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