Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/126787 
Erscheinungsjahr: 
2009
Schriftenreihe/Nr.: 
PIDS Discussion Paper Series No. 2009-29
Verlag: 
Philippine Institute for Development Studies (PIDS), Makati City
Zusammenfassung: 
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.
Schlagwörter: 
community-based monitoring system
multivariate adaptive regression splines
logistic regression
poverty correlates
proxy means test
Dokumentart: 
Working Paper

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