Measuring Multidimensional Poverty in Three Southeast Asian Countries using Ordinal Variables
Bérenger, Valérie | December 2016
Abstract
The primary objective of this paper is to highlight the contribution of the recent methodological refinements of poverty measures based on counting approaches using ordinal variables to the understanding of the evolution of poverty in Cambodia, Indonesia and the Philippines. Using the general framework proposed by Silber and Yalonetzky (2013), this paper compares multidimensional poverty measures such as the Multidimensional Poverty Index used by the UNDP (an index based on the approach of Alkire and Foster (2011)) with others which are sensitive to the distribution of deprivation counts across individuals. To the latter family belong the poverty measures introduced by Chakravarty and D’Ambrosio (2006) and Rippin (2010) and those based on the extension of the approach of Aaberge and Peluso (2012), as suggested by Silber and Yalonetzky (2013). Poverty is estimated using Demographic and Health Surveys for three different years for Cambodia (2000, 2005 and 2010), for Indonesia (1997, 2003 and 2007), and for the Philippines (1997, 2003 and 2008) by considering the deprivations in education, health and standard of living. Our findings indicate that Cambodia shows the highest level of poverty, followed by Indonesia and the Philippines, irrespective of the poverty measures used. At the national level, all countries reduced their multidimensional poverty over time using poverty measures as the one based on the approach of Alkire and Foster (2011) and those that are sensitive to the concentration of deprivations across individuals. As in most of Asian developing countries, poverty is largely a rural phenomenon. However, when examining the evolution of poverty over time for each country, conclusions drawn from the use of various poverty measures may differ regarding trends in poverty over time by area of residence as well as by region of residence.
Citation
Bérenger, Valérie. 2016. Measuring Multidimensional Poverty in Three Southeast Asian Countries using Ordinal Variables. © Asian Development Bank Institute. http://hdl.handle.net/11540/6862.Keywords
Development Indicators
Environmental Indicators
Economic Indicators
Educational Indicators
Demographic Indicators
Health Indicators
Disadvantaged Groups
Low Income Groups
Socially Disadvantaged Children
Rural Conditions
Rural Development
Social Conditions
Urban Development
Urban Sociology
Project finance
Resources evaluation
Needs assessment
Cost benefit analysis
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
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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