Abstract:This paper tries to identify the correlates of poverty in urban Eritrea using an estimation technique (the DOGEV model) that also allows for the inclusion of a measure of "persistence" in poverty levels from cross-sectional estimation. The results suggest that 17 percent of the probability of being moderately poor and 22 percent of the probability of being extremely poor in Eritrea was attributable to this "persistence"-a predisposition toward poverty likely due to latent attributes related to past experience … Show more
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