Bayesian mapping of poverty prevalence in the city of Pasay, Philippines, 2005

College

College of Science

Department/Unit

Mathematics and Statistics Department

Document Type

Conference Proceeding

Source Title

Proceedings of the Thirteenth OU-DLSU Academic Research Workshop

First Page

43

Last Page

46

Publication Date

2009

Abstract

Mapping of poverty prevalence has been an essential tool which may identify high poverty incidence areas where intervention or programs from government or nongovernmental institutions are needed. To help the government achieve its goal of reducing poverty prevalence in the country, local government units should be able to implement programs to help areas of high poverty rates. This study generated poverty maps using poverty incidence that could aid in the planning of local community welfare development programs in the city of Pasay. This study also applied Bayesian hierarchical models in generating poverty prevalence using 2005 Community Based Monitoring System (CBMS) data in Pasay City. Poisson regression model was utilized to determine significant correlates and to predict poverty incidence using significant correlates.

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Disciplines

Demography, Population, and Ecology

Keywords

Poverty—Philippines—Pasay City—Mathematical models

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