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Poverty Measurement and Analysis

PEP schools on Poverty Measurement and Analysis provide hands-on training on concepts, techniques and tools to measure and analyze poverty, equity and related issues in a multidimensional setting, primarily using household survey data.  The course content is based on research methodologies fostered through the PEP research program "Poverty Monitoring, Measurement and Analysis" (PMMA). Among other features, the course makes extensive use of the world-renowned software packages DAD (Distributive Analysis/Analyse Distributive) and DASP (Distributive Analysis for Stata Package), purposely developed by PEP's own teaching team to facilitate the analysis and the statistical comparisons of social welfare, inequality, poverty and equity across distributions of living standards. The concepts and the tools are extensively illustrated and applied using a variety of datasets and measurement and policy contexts. Objectives This course teaches participants how to use monetary and non-monetary approaches to measure and analyse poverty in a multidimensional setting. It introduces tools that are useful to prepare reliable and robust poverty profiles, as well as to understand and forecast the impact on poverty of changes in various economic and non-economic factors.

Methodologically, it involves, among other things, the measurement and the comparison of monetary and multi-dimensional poverty, the construction and estimation of poverty lines, as well as exercise of poverty and social impact analyses.

Expected outcomes

  • Understand the features, advantages and disadvantages of the main approaches to measuring and analyzing well-being;
  • Construct poverty profiles that are reliable and robust from both measurement and statistical perspectives, using case studies and national survey databases;
  • Be able to estimate monetary poverty lines;
  • Be familiar with the use of ordinal and qualitative indicators of well-being and the construction of composite (multidimensional) indices of poverty;
  • Be able to model and discuss the impact of policies and shocks on well-being and poverty.

For information on past editions of PEP Schools on Poverty Measurement and Analysis, follow the links below:

Bolivia 2014

South Africa 2013

Sri Lanka 2012

Namibia 2011

Senegal 2010

Uganda 2009

Namibia 2008

Partners

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Funded by

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