Partial Identi cation of Poverty Measures with Contaminated and Corrupted Data

  • Juan Carlos Chavez-Martin del Campo
  • Published 2006


This paper applies a partial identi cation approach to poverty measurement when data errors are non-classical in the sense that it is not assumed that the error is statistically independent of the outcome of interest, and the error distribution has a mass point at zero. This paper shows that it is possible to nd non-parametric bounds for the class of… (More)

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