Empirical Analysis of Poverty Dynamics: With Case Studies from Sub-Saharan Africa
The empirical analysis of poverty over time is still severely constrained by the available survey data in developing countries. In the past, this has led to a neglect of certain aspects of poverty dynamics or even biased assessments of poverty dynamics. This book explicitly takes into account the present data limitations, proposing alternative methods for the empirical analysis of poverty dynamics. The work addresses both the problems related to limited data in the analysis of macro-level (or national) as well as micro-level (or household) poverty dynamics. The proposed methods are applied to survey data from various sub-Saharan African countries. As these countries do not only have the most limited economic survey data but also show the highest poverty rates in the world an accurate understanding of the underlying poverty dynamics seems to be most important for these countries.
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Introduction and Overview
ProPoor Growth and Inflation Inequality
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aggregate analysis of poverty analyze assess bias budget shares Burkina Faso Burkinabe change in poverty Chaudhuri 2002 community characteristics component Computations Consumer Price Index Cote d'lvoire covariate shocks Deaton decreased deflator developing countries earnings economic elasticities of poverty equation error term Essay expected mean food crops formal sector GDP per capita growth elasticities growth incidence curve growth rates Hence higher impact household surveys idiosyncratic and covariate idiosyncratic shocks impact of idiosyncratic income distribution increase indicators inflation inequality inflation rates informal labor market informal sector Informal-2 Klasen Laspeyres index lengthy panel data macro-economic growth multilevel model non-monetary non-poor Paasche index panel data PCPIs percent percentile-specific poor poverty changes poverty dynamics poverty estimates poverty line poverty rates poverty reduction PPG measures price index pro-poor growth Ravallion rural households shocks on households survey design Table triple decomposition unexplained variance urban households variance in consumption vulnerability to poverty wellbeing whereas World Bank