Profiling poverty with multivariate adaptive regression splines
College
Ramon V. Del Rosario College of Business
Department/Unit
Economics
Document Type
Article
Source Title
Philippine Journal of Development
Volume
37
Issue
2
First Page
55
Last Page
97
Publication Date
2010
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.
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Recommended Citation
Mina, C. D., & Barrios, E. B. (2010). Profiling poverty with multivariate adaptive regression splines. Philippine Journal of Development, 37 (2), 55-97. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/8345
Disciplines
Community-Based Research
Keywords
Poverty—Philippines
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