Abstract

http://ssrn.com/abstract=1004392
 
 

References (6)



 
 

Citations (1)



 


 



The Asymptotic Theory of the Kakwani Class of Poverty Measures


Gane Samb Lo


Universite Gaston Berger

Serigne Touba Sall


Université Gaston Berger de Saint-Louis

Cheikh Tidiane Seck


Université Gaston Berger de Saint-Louis

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.

Number of Pages in PDF File: 9

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

JEL Classification: C43, C00, C13, C14

working papers series





Download This Paper

Date posted: August 11, 2007  

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: http://ssrn.com/abstract=1004392 or http://dx.doi.org/10.2139/ssrn.1004392

Contact Information

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
Feedback to SSRN


Paper statistics
Abstract Views: 617
Downloads: 87
Download Rank: 177,301
References:  6
Citations:  1

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo8 in 0.344 seconds