Dean Jolliffe is a Lead Economist in the Development Data Group of the World Bank and member of the LSMS-ISA team. He has extensive experience in the design and implementation of household surveys and is currently managing ongoing LSMS-ISA work in Ethiopia. He has also worked in the South Asia region at the Bank on poverty assessments for Afghanistan, Bangladesh and Nepal. Previously, he was a Research Economist at the Economic Research Service of USDA, an Adjunct Professor at the Johns Hopkins University School of Advanced International Studies, an Assistant Professor at the Center for Economic Research and Graduate Education in Prague, and a Post-doctoral Fellow at the International Food Policy Research Institute. Dean holds appointments as a Research Fellow with the Institute for the Study of Labor in Bonn, and as a Research Affiliate with the National Poverty Center at the University of Michigan. He received his Ph.D. in economics from Princeton University.
Recent advances in data, and progress in the fight against extreme poverty, have prompted new thinking about poverty measures that can supplement the current extreme poverty line of $1.90/day. In this talk, Dean Jolliffe, talked about two such measures. The first is a set of simple global poverty lines higher in value than the extreme line that are based on the estimated cost of basic needs in lower- and upper-middle income countries. The second is a global societal poverty line, a relative measure that counts the poor as those whose incomes fall below the sum of $1 and 50 percent of the median income of a country. For the poorest countries, the societal poverty line would continue to be the extreme poverty line of $1.90/day, but for slightly better-off countries, the societal poverty line would be higher and increase in value as median income in the country increases.
The Living Standards Measurement Study (LSMS) and the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) were established by the Development Research Group to explore ways of improving the type and quality of household data collected by statistical offices in developing countries. The goal is to foster increased use of household data as a basis for policy decisionmaking.
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