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An exercise to evaluate an anti-poverty program with multiple outcomes using program evaluation

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  • Tonmoy Islam, T.M.

Abstract

To measure the effectiveness of programs with multiple outcomes, I combine multidimensional poverty measures with difference-in-difference matching estimators. I apply this technique on an anti-poverty program and show it is a more comprehensive measure of poverty reduction than a unidimensional measure.

Suggested Citation

  • Tonmoy Islam, T.M., 2014. "An exercise to evaluate an anti-poverty program with multiple outcomes using program evaluation," Economics Letters, Elsevier, vol. 122(2), pages 365-369.
    • Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:365-369
    DOI: 10.1016/j.econlet.2013.12.032
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    References listed on IDEAS

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    1. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    4. Mª Casilda Lasso de la Vega & Ana Urrutia & Henar Diez, 2009. "The Bourguignon and Chakravarty multidimensional poverty family: A characterization," Working Papers 109, ECINEQ, Society for the Study of Economic Inequality.
    5. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    6. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    7. 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.
    8. David Hulme & Karen Moore, 2007. "Assisting the poorest in Bangladesh: Learning from BRAC’s ‘Targeting the Ultra Poor’ Programme," Global Development Institute Working Paper Series 0107, GDI, The University of Manchester.
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    Cited by:

    1. Sophie Song and Katsushi S. Imai, 2018. "Does the Hunger Safety Net Programme Reduce Multidimensional Poverty? Evidence from Kenya," OPHI Working Papers ophiwp124.pdf, Queen Elizabeth House, University of Oxford.
    2. Garbero, Alessandra & Songsermsawas, Tisorn, 2017. "How Much have Agricultural Projects Contributed to Economic Mobility and Food Security in China?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258097, Agricultural and Applied Economics Association.
    3. Lara de Melo Barbosa Andrade & Gilvan Ramalho Guedes & Kenya Valeria Micaela de Souza Noronha & Cláudio Moisés Santos e Silva & Jéferson Pereira Andrade & Albert Smith Feitosa Suassuna Martins, 2021. "Health-related vulnerability to climate extremes in homoclimatic zones of Amazonia and Northeast region of Brazil," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-24, November.
    4. Libang Ma & Xinglong Che & Junhui Zhang & Fang Fang & Meimei Chen, 2019. "Rural Poverty Identification and Comprehensive Poverty Assessment Based on Quality-of-Life: The Case of Gansu Province (China)," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    5. Zhineng Hu & Jing Ma & Qiong Feng & C. Patrick Scott & Hani I. Mesak, 2022. "The detection dilemma of marginally non‐poor households in poverty alleviation evaluation: Evidence from a linear quantile mixed model," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1491-1517, August.

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    More about this item

    Keywords

    Program evaluation; Multidimensional poverty index;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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