Chronic and Transient Poverty: Measurement and Estimation, with evidence from China (preliminary)

نویسندگان

  • Jean-Yves Duclos
  • Abdelkrim Araar
  • John Giles
چکیده

The paper contributes to the measurement of poverty and vulnerability in three ways. First, we propose a new approach to split total poverty into chronic and transient components. Second, we provide corrections for the statistical biases often introduced by the use of a relatively small number of periods in the estimation of the importance of risk in accounting for total poverty. Third, we apply these tools to the measurement of chronic and transient poverty in China using a rich panel data set that extends over approximately 17 years. We find that alternative measurement techniques can give significantly different views on the relative importance of chronic and transient poverty, and that statistical bias corrections can greatly enhance the precision of such poverty estimates.

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تاریخ انتشار 2005