as poverty measures. Recent research has provided evidence that spatial modelling still can improve the precision of … the posterior under a flat p rior. F urther, we show using the SAIPE poverty data that the gain in efficiency using a …

Long-term regional convergence hypothesis is examined for 32 Mexican states in a regional growth model with poverty … traps using a new dataset on regional income inequality for the period 1940-2011. Although zero-growth poverty trap …

Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in … situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process … biggest impact on estimates to be produced. However, selective editing is not grounded in probability theory associated with …

Poverty is typically measured as insufficient yearly income or consumption. In practice, however, poverty is marked by … poverty measures to include a temporal dimension. Using panel data from rural India, we show how conventional poverty measures … can distort understandings of poverty: exposure to poverty is wider and more common than typically measured, and poverty …

and semiparametric methods on a sample of poor households from rural Mexico, where Programa de Apoyo Alimentario (PAL), a …