A Note on Decomposing Differences in Poverty Incidence Using Regression Estimates: Algorithm and Example
AbstractThis paper decomposes differences in poverty incidence (head count ratio) using estimates from a regression equation, synthesizing the approaches proposed in World Bank (2003) and Yun (2004). A significance test is developed for characteristics and coefficients effects when decomposing differences in poverty incidence. The proposed method is implemented for studying differences in poverty incidence between Serbians and Albanians in Kosovo using Living Standard Measurement Survey.
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Bibliographic InfoPaper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number 200633.
Length: 20 pages
Date of creation: 01 Dec 2006
Date of revision:
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poverty incidence; decomposition; headcount; probit;
Other versions of this item:
- Bhaumik, Sumon K. & Gang, Ira N. & Yun, Myeong-Su, 2006. "A Note on Decomposing Differences in Poverty Incidence Using Regression Estimates: Algorithm and Example," IZA Discussion Papers 2262, Institute for the Study of Labor (IZA).
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- I30 - Health, Education, and Welfare - - Welfare and Poverty - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-03-10 (All new papers)
- NEP-DEV-2007-03-10 (Development)
- NEP-ECM-2007-03-10 (Econometrics)
- NEP-LTV-2007-03-10 (Unemployment, Inequality & Poverty)
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