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Measuring unidimensional poverty: a review of the inference literature

In: Research Handbook on Measuring Poverty and Deprivation

Author

Listed:
  • Chiara Gigliarano
  • Pietro Muliere

Abstract

Poverty measures are typically estimated from sample observations and, therefore, they should not be used only as descriptive statistics, but rather as tools for statistical inference. Statistical analysis with explicit tests and confidence intervals is important to ensure that changes in measured poverty levels within or across countries correspond to real changes. The aim of the paper is to provide a comprehensive review of the main developments on the inferential aspects of the unidimensional poverty indices.

Suggested Citation

  • Chiara Gigliarano & Pietro Muliere, 2023. "Measuring unidimensional poverty: a review of the inference literature," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 10, pages 106-117, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20574_10
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