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Poverty targeting in public programs: A comparison of alternative nonparametric methods Author info | Abstract | Publisher info | Download info | Related research | Statistics Isha Dewan () (Indian Statistical Institute, New Delhi)
Rohini Somanathan () (Indian Statistical Institute, New Delhi)
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Very poor households may be excluded from public programs intended for their benefit for a variety of reasons as lack information, a permanent residence or membershiip in social networks. We are interested in methods of testing for such exclusion based on independently drawn samples of program participants and non-participants. We discuss three alternative nonparametric procedures; sign tests, tests for stochastic dominance and a test for distribution crossing. In the cases where there is a poverty threshold below which program participation is difficult, our simulation results suggests that the last of these test procedures is the most powrful. we apply this test to data from a microfinance program in India and find evidence that the poorest households in the area were largely outside the program.
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Paper provided by Indian Statistical Institute, New Delhi, India in its series Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers with number
04-16.
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Length: 28 pages
Date of creation: Jun 2004Date of revision:
Handle: RePEc:ind:isipdp:04-16Contact details of provider: Postal: 7, S. J. S. Sansanwal Marg, New Delhi - 110016 Phone: 91-11-6564789 Fax: 91-11-6856779 Web page: http://www.isid.ac.in More information through EDIRC
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Jonathan Morduch, 1998.
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Davidson, R. & Duclos, J.-Y., 1998.
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G.R.E.Q.A.M.
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