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005    20180824191804.0
006    m        d
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008    020129s2018    dcu     o    i00  0 eng^^
024 7  10.1596/30125 |2doi
035    (CKB)4920000001208995
035    (The World Bank)30125
035    (US-djbf)30125
035    (EXLCZ)994920000001208995
040    DJBF |beng |cDJBF |erda
100 1  Sebastian, Ashwini.
245 12 A Proxy Means Test for Sri Lanka : |bA Proxy Means Test for Sri Lanka / |cAshwini Sebastian.
246    Proxy Means Test for Sri Lanka
264  1 Washington, D.C. : |bThe World Bank, |c2018.
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
347    data file |2rda
490 1  Other papers
520 3  This paper intends to inform the effort of the Sri Lankan government to reform the targeting efficacy of its social protection programs, in particular, Samurdhi, which currently distributes benefits based on self-reported income. We develop a Proxy Means Test (PMT) for Sri Lanka based on the Household Income and Expenditure Survey 2016 and evaluate its performance for targeting benefits of Samurdhi. The paper considers a range of models and policy parameters that could be applied depending on data availability and country preferences. The results indicate that switching to a PMT could considerably improve the targeting performance of Samurdhi and would significantly improve the poverty impact of the program. We find that the performance of the proposed PMT model suffers when the coefficients are estimated from samples smaller than 1,000 households. However, we do not find a similar loss of model performance when the model is estimated from seasonal data, provided the sample size is sufficiently large. The model we propose could be applied to the targeting of a variety of safety net programs after validating and refining our model by conducting a pilot survey.
650  4 Inequality
650  4 Living Standards
650  4 Poverty
650  4 Poverty Reduction
650  4 Social Protections and Labor
700 1  Newhouse, David.
700 1  Sebastian, Ashwini.
700 1  Shivakumaran, Shivapragasam.
700 1  Silwal, Ani Rudra.
700 1  Walker, Thomas.
700 1  Yoshida, Nobuo.
830  0 Other papers.
830  0 World Bank e-Library.
906    BOOK