Vulnerability to asset-poverty in Sub-Saharan Africa
AbstractThis paper presents a methodology to measure vulnerability to asset-poverty. Using repeated cross-section data, age cohort decomposition techniques focusing on second-order moments can be used to identify and estimate the variance of shocks on assets and, therefore, the probability of being poor in the future. Estimates from the Ghana Living Standard Surveys show that expected asset-poverty is a reliable proxy for expected consumption-poverty. Applying the methodology to nine Demographic Health Surveys countries, urban areas are found to unambiguously dominate rural areas over the unidimensional distribution of expected future asset-wealth, as they also generally do over the bi-dimensional distribution of present asset-wealth and expected future asset-wealth.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 35660.
Date of creation: 2011
Date of revision:
vulnerability; poverty; wealth; pseudo panel; stochastic dominance; Africa;
Find related papers by JEL classification:
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
- O12 - Economic Development, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
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