Estimating Income Poverty in the Presence of Measurement Error and Missing Data Problems

Publication type

Conference Paper

Series

Modelling and Inference in Microeconomics Workshop

Authors

Publication date

March 5, 2007

Abstract:

Estimation of income poverty from survey data is typically plagued by measurement error and missing data problems. Neglecting these problems can bias the estimated poverty rates. In this paper 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.

#518228

---

Related Publications

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

  1. Cheti Nicoletti
  2. Franco Peracchi
  3. Francesca Foliano

  Journal Article
  June 1, 2011

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

  1. Cheti Nicoletti
  2. Franco Peracchi
  3. Francesca Foliano

  ISER Working Paper Series
  July 16, 2007

• Estimating Income Poverty in the Presence of Measurement Error and Missing Data Problems

  1. Cheti Nicoletti
  2. Franco Peracchi
  3. Francesca Foliano

  Conference Paper
  July 10, 2007