Estimating individual vulnerability to poverty with pseudo-panel data / Francois Bourguignon, Chor-ching Goh and Dae Il Kim.
Material type:
TextSeries: Policy research working papers ; no. 3375Publication details: Washington, D. C : World Bank, 2004.Description: 17p ; 27 cmSubject(s):
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Main Campus Library | University of Eastern Africa, Baraton | Spc HG 3881.5 .W57 no.3375 (Browse shelf(Opens below)) | Available | 56726 |
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| Spc HG 3881.5 .W57 no.3372 Two case studies on electronic distribution of government securities : | Spc HG 3881.5 .W57 no.3373 Are returns to private infrastructure in developing Countries with risks since the Asian crisis? / | Spc HG 3881.5 .W57 no. 3374 Is debt replacing equity in regulated privatized infrastructure in developing Countries? / | Spc HG 3881.5 .W57 no.3375 Estimating individual vulnerability to poverty with pseudo-panel data / | Spc HG 3881.5 .W57 no.3376 What triggers inflation in emerging market economies? / | Spc HG 3881.5 .W57 no. 3377 Resolving systematic financial crises : | Spc HG 3881.5 .W57 no.3378 Pro-growth, pro-poor : |
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"Bourguignon, Goh, and Kim present an original method to study individual earning dynamics using repeated cross-sectional data. Because panel data of individuals are seldom available in developing Countries, it is difficult to study individual earning dynamics and related issues such as the propensity of earners to fall into poverty or vulnerability to poverty because of changes in earnings. The authors show that under the assumption that individual earning dynamics obey some basic properties and follow a simple stochastic process, the main parameters of this process can be recovered from repeated cross-sectional data. The knowledge of these parameters than permits simulation of the earning dynamics of an individual, and estimate other measures of interest, such as an individual's vulnerability to poverty. The results show that model parameters recovered from pseudo panels approxi
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