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 Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2262.
Length: 19 pages
Date of creation: Aug 2006
Date of revision:
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Other versions of this item:
- Sumon Kumar Bhaumik & Ira N. Gang & Myeong-Su Yun, 2006. "A Note on Decomposing Differences in Poverty Incidence Using Regression Estimates: Algorithm and Example," Departmental Working Papers 200633, Rutgers University, Department of Economics.
- 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-2006-09-16 (All new papers)
- NEP-ECM-2006-09-16 (Econometrics)
- NEP-LTV-2006-09-16 (Unemployment, Inequality & Poverty)
- NEP-TRA-2006-09-16 (Transition Economics)
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