|This centre is a member of The LSE Research Laboratory [RLAB]: CASE | CEE | CEP | FMG | SERC | STICERD||Cookies?|
Ramses H. Abul Naga,
Paper No' DARP 009: | Full paper
Save Reference as: BibTeX File | EndNote Import File
Keywords: Poverty; latent variable; indicators
Is hard copy/paper copy available? NO - Paper Copy Out Of Print.
This Paper is published under the following series: Distributional Analysis Research Programme
Share this page: Google Bookmarks | Facebook | Twitter
Abstract:The standard approach to the study of poverty assumes the existence of an ideal variable that captures the extent of deprivation. In this paper we postulate that poverty is involved with many dimensions. We use a latent variable framework to predict the extent of an individual's hardship as a function ?i =ax1i + bx2i +..., where the x's are indicators of i's income status, yi, and the latter variable is not observed.
Copyright © STICERD & LSE 2005 - 2015 | LSE, Houghton Street, London WC2A 2AE | Tel: +44(0)20 7955 6699 | Email: email@example.com | Site updated 19 April 2015