Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/126787
Authors: 
Barrios, Erniel B.
Mina, Christian D.
Year of Publication: 
2009
Series/Report no.: 
PIDS Discussion Paper Series 2009-29
Abstract: 
Using data from the 2003 Family Income and Expenditure Survey and 2005 Community-based Monitoring System for a city, Multivariate Adaptive Regression Splines (MARS) is used in identifying household poverty correlates in the Philippines. Models produced by MARS are more parsimonious yet contain theoretically and empirically sound set of household poverty correlates and have high accuracy in identifying a poor household. MARS provides a better alternative to logistic regression for a more efficient and effective implementation of a proxy means test in the identification of potential beneficiaries of poverty alleviation programs.
Subjects: 
community-based monitoring system
multivariate adaptive regression splines
logistic regression
poverty correlates
proxy means test
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.