Estimating individual vulnerability to poverty with pseudo-panel data /
Bourguignon, Francois.
Estimating individual vulnerability to poverty with pseudo-panel data / Francois Bourguignon, Chor-ching Goh and Dae Il Kim. - Washington, D. C : World Bank, 2004. - 17p ; 27 cm. - Policy research working papers ; no. 3375 .
Also available online. "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
Includes bibliographical references.
Open access.
Wages.
Poverty.
Estimating individual vulnerability to poverty with pseudo-panel data / Francois Bourguignon, Chor-ching Goh and Dae Il Kim. - Washington, D. C : World Bank, 2004. - 17p ; 27 cm. - Policy research working papers ; no. 3375 .
Also available online. "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
Includes bibliographical references.
Open access.
Wages.
Poverty.