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Impact assessment of national and regional policies using the Philippine Regional General Equilibrium Model (PRGEM)
2009For the Philippines, quantitative policy analysis should incorporate regional differences in welfare and economic structure, which arise partly from geographic constraints. However, existing CGE models offer limited analysis of regional effects or national impacts of region-specific interventions, owing to the absence of key regional data.DocumentAnalysis of the impact of changes in the prices of rice and fuel on poverty in the Philippines
Philippine Institute for Development Studies, 2009This study aims to assess the impact of rising prices of rice and fuel on poverty in the Philippines. In particular, the variations in the potential effects among different group of households were analyzed using household level data.DocumentComparing GDP in constant and in chained prices: some new results
Philippine Institute for Development Studies, 2009This paper’s framework for GDP in chained prices yields GDP in constant prices as a special case of constant relative prices, i.e., these GDP measures differ only when relative prices change. The framework has a novel additive procedure, counter to the prevailing view that GDP in chained prices is non-additive.DocumentCrop isurance: security for farmers and agricultural stakeholders in the face of seasonal climate variability
Philippine Institute for Development Studies, 2009Crop insurance is a risk management tool designed to even out agricultural risks and address the consequences of natural disasters to make losses more bearable, especially to the marginalized farmers. In the Philippines, the Philippine Crop Insurance Corporation (PCIC) implements and manages the government program on agricultural insurance.DocumentRegional economic growth and convergence in the Philippines: 1975-1997
Philippine Institute for Development Studies, 1999This study is a quantitative assessment of regional development performance in terms of economic growth and convergence (described simply as the minimization of disparities in regional income) during the period 1975-1997.DocumentRevisiting sectoral liberalization: an alternative to the FTAAP? Implications on the Philippines
Philippine Institute for Development Studies, 2009The constant search for fresh impetus to revive trade liberalization inspired APEC members to consider the preferential route. The Free Trade Area of the Asia Pacific (FTAAP) has not been met by an overwhelming show of support by all members. While ambitious, aDocumentSome statistical dimensions in the generation of Philippine poverty statistics
Philippine Institute for Development Studies, 2009This paper presents some statistical issues and possible solutions in the estimation of Philippine Poverty Statistics based on the official methodology adopted. In particular, the paper shows the effect of survey weights used in the estimation of population counts, number of households, number of poor persons among others.DocumentSmall Area Estimation of poverty statistics
Philippine Institute for Development Studies, 2009In response to high demands for lower level poverty estimates, the National Statistical Coordination Board releases provincial estimates, in addition to the national and regional, starting with the 1997 FIES. However, estimates of the coefficients of variation (CV) of several provincial estimates indicate that the resulting poverty measures are not reliable.DocumentIssues on the Official Poverty Estimation Methodology in the Philippines: comparability of estimates across space and over time
Philippine Institute for Development Studies, 2009In December 2000, the Philippines' NSCB Executive Board approved the resolution that provided for the computation of subsistence and poverty thresholds on an annual basis. Official poverty statistics were then available at the national and regional levels with urban-rural disaggregation.DocumentA documentation of the Philippines` Family Income and Expenditure Survey
Philippine Institute for Development Studies, 2009The quality of poverty estimates relies heavily on the data sources. One of the sources of data for poverty estimation in the Philippines is the Family Income and Expenditure Survey (FIES). The FIES is the source of detailed information on income and expenditures of Filipino families.Pages
