Income and Consumption Inequality in the Philippines: A Stochastic Dominance Analysis of Household Unit Records
Valenzuela, Maria Rebecca; Wong, Wing-Keung; Zhen, Zhu Zhen | February 2017
Abstract
In this paper, we employ stochastic dominance (SD) analysis on household unit records to measure relative welfare levels and investigate sources of inequality in the Philippines from 2000 to 2012. Using SD techniques developed in Chow, Valenzuela, and Wong (2016), we test for richness and poorness in the population across various social, economic, and demographic dimensions. Our SD composition approach and application of tests showed higher and improved relative welfare levels exist for urban, non-agricultural households, and that compared with wages and business income, other sources of income have grown in importance in narrowing welfare gaps over time. We also found that gender of household head and education attainments matter for welfare outcomes. In terms of age, we found high concentrations of poor income units among the youngest cohort (aged 30 and under), and high concentrations of richer income units in the older, over-60 cohort. These results help explain persistently high levels of income inequality observed in the Philippine economy.
Citation
Valenzuela, Maria Rebecca; Wong, Wing-Keung; Zhen, Zhu Zhen. 2017. Income and Consumption Inequality in the Philippines: A Stochastic Dominance Analysis of Household Unit Records. © Asian Development Bank Institute. http://hdl.handle.net/11540/8670.Keywords
Alleviating Poverty
Anti-Poverty
Extreme Poverty
Fight Against Poverty
Global Poverty
Health Aspects Of Poverty
Indicators Of Poverty
Participatory Poverty Assessment
Poverty Eradication
Poverty Analysis
Poverty In Developing Countries
Poverty Reduction Efforts
Urban Poverty
Results-Based Monitoring And Evaluation
Project Evaluation & Review Technique
Performance Evaluation
Impact Evaluation Reports
Evaluation Criteria
Development Indicators
Environmental Indicators
Economic Indicators
Educational Indicators
Demographic Indicators
Health Indicators
Disadvantaged Groups
Low Income Groups
Socially Disadvantaged Children
Aging
Rural Conditions
Rural Development
Social Conditions
Urban Development
Urban Sociology
Project finance
Resources evaluation
Needs assessment
Cost benefit analysis
Poor
Economic forecasting
Health expectancy
Social groups
Political participation
Distribution of income
Inequality of income
Developing countries
Rural community development
Mass society
Social change
Social policy
Social stability
Population
Sustainable development
Peasantry
Urban policy
Urban renewal
Results mapping
Risk assessment
Participatory monitoring and evaluation
Cost effectiveness
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