Measuring Vulnerability to Poverty

Jonathan Morduch, Gisele Kamanou

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A method based on Monte Carlo bootstrap estimations of consumption changes was developed to measure vulnerability to poverty. The method was applied to data on Cote d'Ivoire in 1985-86. It revealed potential difficulties faced by households, which were obscured when historical records were used to determine the extent of vulnerabilities.

Original languageEnglish (US)
Title of host publicationInsurance Against Poverty
PublisherOxford University Press
ISBN (Print)9780199276837
DOIs
StatePublished - Jan 1 2005

Fingerprint

Vulnerability
Poverty
Bootstrap
Household
Ivory Coast

Keywords

  • Cote d'Ivoire
  • Households
  • Monte Carlo simulation
  • Poverty
  • Vulnerability

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)

Cite this

Morduch, J., & Kamanou, G. (2005). Measuring Vulnerability to Poverty. In Insurance Against Poverty Oxford University Press. https://doi.org/10.1093/0199276838.003.0009

Measuring Vulnerability to Poverty. / Morduch, Jonathan; Kamanou, Gisele.

Insurance Against Poverty. Oxford University Press, 2005.

Research output: Chapter in Book/Report/Conference proceedingChapter

Morduch, J & Kamanou, G 2005, Measuring Vulnerability to Poverty. in Insurance Against Poverty. Oxford University Press. https://doi.org/10.1093/0199276838.003.0009
Morduch J, Kamanou G. Measuring Vulnerability to Poverty. In Insurance Against Poverty. Oxford University Press. 2005 https://doi.org/10.1093/0199276838.003.0009
Morduch, Jonathan ; Kamanou, Gisele. / Measuring Vulnerability to Poverty. Insurance Against Poverty. Oxford University Press, 2005.
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