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1985 - 198922000 - 20092
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Subject: Social inequality ×

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Now showing 1 - 4 of 4
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    Patterns of immunization: the case of slums and shanty towns
    (1988-10) Burgos, Alexander B.; Lalunio, Melchor P.; Ching
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    The incidence of poverty in the Philippines: the kuznets model of inequality
    (1985-03-22) Mintu, Alma Victoria; Tayengco, Marcia; Alburo, Florian
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    Breaking down poverty
    (2009-04) Locsin, Daniel James C.; Esguerra, Emmanuel
    This study provides an updated analysis on the different elements affecting poverty using Philippine regional level data. It is of essence that we see which of these factors provide the most benefits in poverty reduction. This way, we may be able to efficiently implement projects that would have a large marginal effect in battling this problem that we have been contending with for the past decades. Using multiple linear regression analysis, we find that reducing population growth, infant mortality, and making income levels more equitable are the most effective solutions to reduce poverty in the country. Though our results only show little marginal benefits for land reform, its importance is still stressed taking into consideration concepts of equitability and efficiency in implementation.
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    Youth and work: does poverty matter?
    (2005-10) Fernandez, Ysabel Marie D.; Quilicol, Maria Cristine B.
    This study is an attempt to trace the effects of poverty measured through per capita GRDP alongside unemployment, enrolment and educational attainment rates on the Philippine youth labor force participation rate. The regional data from 2001 to 2004 used were taken from various government agencies and were analysed through econometric regression following Bowen's model of labor force participation. Results of the econometric regression show that poverty measured through GRDP is a significant determinant of youth labor force participation. Other variables such as unemployment rates, enrolment rates, and the no grade completed and college levels of educational attainment also explain the variations of youth labor force participation. Furthermore, the division of the panel data into the three Philippine island groupings (Luzon, Visayas and Mindanao) are not significant in the analysis of regression results. However, some demographic aspects of the youth labor force have not been analyzed in this study. It is therefore recommended that further studies that would include variables for gender, urbanity, the in-school and out-of-school youth groupings. In addition, another measure of poverty that could be used is also recommended for further research.