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Welfare Effects of Social Cash Transfer Programs: Evidence from Egypt’s Takaful and Karamah Programs

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  • Ibrahim Hanafy Mohammad, Hind

Abstract

Social cash transfers (SCTs) are considered a priority in least-developed countries, where the gap between the need for basic social protection and existing provisions is greatest. This study represents one of the first comprehensive impact evaluation treatments for Takaful and Karamah social cash transfer programs in Egypt. The results, based on propensity score matching (PSM) and odds-weighted regression, and data from the HIECS 2017-2018, confirm positive SCTs effects on per capita non-food consumption expenditures including healthcare and education for beneficiary households. The results also indicate threshold effects with SCTs mostly impacting healthcare expenditure among asset-poorer beneficiary households and education expenditure among asset-wealthier beneficiaries.

Suggested Citation

  • Ibrahim Hanafy Mohammad, Hind, 2025. "Welfare Effects of Social Cash Transfer Programs: Evidence from Egypt’s Takaful and Karamah Programs," EconStor Research Reports 319784, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esrepo:319784
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    References listed on IDEAS

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    1. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    2. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    3. Hujer, Reinhard & Caliendo, Marco & Thomsen, Stephan L., 2004. "New evidence on the effects of job creation schemes in Germany--a matching approach with threefold heterogeneity," Research in Economics, Elsevier, vol. 58(4), pages 257-302, December.
    4. 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.
    5. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    6. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    7. 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.
    8. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    9. Gelson Tembo & Nicholas Freeland & Bernadette Chimai & Esther Sch¨¹ring, 2014. "Social Cash Transfers and Household Welfare: Evidence from Zambia's Oldest Scheme," Applied Economics and Finance, Redfame publishing, vol. 1(1), pages 13-26, May.
    10. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    11. Carolyn Heinrich & Alessandro Maffioli & Gonzalo Vázquez, 2010. "A Primer for Applying Propensity-Score Matching," SPD Working Papers 1005, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    12. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    13. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    14. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
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    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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