Arbeitspapier
Measuring poverty persistence with missing data with an application to Peruvian panel data
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: ISER Working Paper Series ; No. 2013-22
- Klassifikation
-
Wirtschaft
Personal Income, Wealth, and Their Distributions
Measurement and Analysis of Poverty
- Thema
-
Missing data
Poverty persistence
Partial identification
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Diaz Cuervo, Yadira
Pudney, Stephen
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Essex, Institute for Social and Economic Research (ISER)
- (wo)
-
Colchester
- (wann)
-
2013
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Diaz Cuervo, Yadira
- Pudney, Stephen
- University of Essex, Institute for Social and Economic Research (ISER)
Entstanden
- 2013
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