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Factors Affecting the Magnitude of Poor Families Across the Philippines: A Cross Section Data Analysis


  • Deluna, Roperto Jr


This study is conducted to determine the factors affecting magnitude of poor families in the Philippines and measure the effect of the variables presented. The model was estimated using the Ordinary Least Square (OLS) procedure and cross sectional data set consisting of the 16 regions in the Philippines in the year 2000. The four variables that are found to have significant coefficients are gross regional domestic product (GRDP), functional literacy rate of the population 10-64 years old, number of persons with disabilities, and percentage of household with at least one land owned. Specifically, a peso increase in GRDP decreases the magnitude of poor families by 1 family. When the functional literacy rate increases by one percent decreases the number of poor families by 10,426 families. A unit increase in the number of persons with disability increases the number of poor families by around 4 families. While a percentage increase in the number of family with access to land by at least one land decreases the magnitude of poor families by 5,633 families. Result of the estimation shows that 81% of the variability of the magnitude of poor families in the Philippines can be explained by the predictors of the Model.

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  • Deluna, Roperto Jr, 2011. "Factors Affecting the Magnitude of Poor Families Across the Philippines: A Cross Section Data Analysis," MPRA Paper 36606, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:36606

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    References listed on IDEAS

    1. Bigsten, Arne & Kebede, Bereket & Shimeles, Abebe & Taddesse, Mekonnen, 2003. "Growth and Poverty Reduction in Ethiopia: Evidence from Household Panel Surveys," World Development, Elsevier, vol. 31(1), pages 87-106, January.
    2. Todd Benson & Charles Machinjili & Lawrence Kachikopa, 2004. "Poverty in Malawi, 1998," Development Southern Africa, Taylor & Francis Journals, vol. 21(3), pages 419-441.
    3. Ravallion, Martin & Datt, Gaurav, 2002. "Why has economic growth been more pro-poor in some states of India than others?," Journal of Development Economics, Elsevier, vol. 68(2), pages 381-400, August.
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    More about this item


    OLS; Poverty; Factors of Poverty;

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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