The Asymptotic Theory of the Kakwani Class of Poverty Measures

9 Pages Posted: 11 Aug 2007

See all articles by Gane Samb Lo

Gane Samb Lo

Universite Gaston Berger

Serigne Touba Sall

Université Gaston Berger de Saint-Louis

Cheikh Tidiane Seck

Université Gaston Berger de Saint-Louis

Date Written: July 2007

Abstract

Given independent observations of the income or the expense variable of some population, with underlying distribution G, given a poverty line Z, we study the Kakwani class of poverty measures. This measure is one of the most important tools for monitoring poverty in Economics. Here, we complete our asymptotic normality theory for poverty measures by a special study for the Kakwani index and for the Sen measure which is a special case of Kakwani's indexes.

Keywords: poverty indexes, empirical distributions, asymptotic distribution, estimation and simulations

JEL Classification: C43, C00, C13, C14

Suggested Citation

Lo, Gane Samb and Sall, Serigne Touba and Seck, Cheikh Tidiane, The Asymptotic Theory of the Kakwani Class of Poverty Measures (July 2007). Available at SSRN: https://ssrn.com/abstract=1004392 or http://dx.doi.org/10.2139/ssrn.1004392

Gane Samb Lo (Contact Author)

Universite Gaston Berger ( email )

Route de Ngallele
Saint-Louis
Senegal
9612340 (Phone)
6345369 (Fax)

HOME PAGE: http://www.ufrsat.org/perso/gslo

Serigne Touba Sall

Université Gaston Berger de Saint-Louis ( email )

Route de Ngallele
Saint-Louis
Senegal

Cheikh Tidiane Seck

Université Gaston Berger de Saint-Louis ( email )

Route de Ngallele
Saint-Louis
Senegal

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
118
Abstract Views
1,023
Rank
428,527
PlumX Metrics