Estimating income poverty in the presence of measurement error and missing data problems

Cheti Nicoletti, Franco Peracchi and Francesca Foliano

No 2007-15, ISER Working Paper Series from Institute for Social and Economic Research

Abstract: Reliable measures of poverty are an essential statistical tool to evaluate public policies aimed at reducing poverty. In this paper we consider the reliability of income poverty measures based on survey data which are typically plagued by measurement error and missing data problems. Neglecting these problems can bias the estimated poverty rates. We show how to derive upper and lower bounds for the population poverty rate using only the sample evidence and an upper limit on the probability of misclassifying people into poor and non-poor. By using the European Community Household Panel, we compute bounds for the poverty rate in eleven European countries and study the sensitivity of poverty comparisons across countries to measurement errors and missing data problems.

Date: 2007-07-16
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published

Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... ers/iser/2007-15.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ese:iserwp:2007-15

Ordering information: This working paper can be ordered from
Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
https://www.iser.essex.ac.uk/publications/

Access Statistics for this paper

More papers in ISER Working Paper Series from Institute for Social and Economic Research Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK. Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().