Arbeitspapier

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

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.

Language
Englisch

Bibliographic citation
Series: ISER Working Paper Series ; No. 2007-15

Classification
Wirtschaft

Event
Geistige Schöpfung
(who)
Nicoletti, Cheti
Peracchi, Franco
Foliano, Francesca
Event
Veröffentlichung
(who)
University of Essex, Institute for Social and Economic Research (ISER)
(where)
Colchester
(when)
2007

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Nicoletti, Cheti
  • Peracchi, Franco
  • Foliano, Francesca
  • University of Essex, Institute for Social and Economic Research (ISER)

Time of origin

  • 2007

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