This paper applies a partial identication 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...

Much of the statistical analysis for poverty measurement regards the data employed to estimate poverty statistics as error-free observations. However, it is amply recognized that surveys responses are not perfectly reliable and that the quality of the data is often poor, especially for...

Este articulo propone una metodologia para estimar el tiempo y la tasa de crecimiento necesarios para alcanzar un objetivo de pobreza, dada una serie de distribuciones del ingreso y escenarios de crecimiento contrafactuales. La metodologia se puede aplicar a la mayoria de las medidas de pobreza...