IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/36606.html
   My bibliography  Save this paper

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

Author

Listed:
  • Deluna, Roperto Jr

Abstract

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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/36606/1/MPRA_paper_36606.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:36606. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.