Template-type: ReDIF-Paper 1.0
Author-Name: Pudney, Stephen
Author-Name: Diaz, Yadira
Title: Measuring poverty persistence with missing data with an application to Peruvian panel data
Abstract: We consider the estimation of measures of persistent poverty in panel surveys with missing data, focusing on the persistent poverty headcount, its duration-adjusted variant, and a related measure used by the European Union as an indicator of the risk of persistent poverty. We develop a partial identification approach to allow for data missing-not-at-random, and apply it to panel data from Peru for 2007-11. The “worst case” bounds are very wide, but we achieve much more precise identification by adding a set of weak a priori restrictions. Standard non-response weighting adjustments cannot be relied upon to remove missing-data bias.

Creation-Date: 20131101
Number: 2013-22
Publication-Status: published
File-URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2013-22.pdf
File-Format: Application/pdf
Handle: RePEc:ese:iserwp:2013-22