Development Data Group
Dean Jolliffe is a lead economist in the Living Standards Measurement Study (LSMS) team in the Survey Unit (DECSU) of the Development Data Group (DECDG) at the World Bank (WB). Previously, he worked in the research group and the South Asia region of the Bank, and prior to that he was with the Economic Research Service (ERS) of the U.S. Department of Agriculture. Dean's research at ERS included work on obesity, rural poverty, and the effect of social safety nets on household welfare. At that time, he also was an adjunct professor at the Johns Hopkins University School of Advanced International Studies (SAIS) where he taught econometrics. He holds appointments as a Research Fellow with the Institute for the Study of Labor (IZA) in Bonn, and as a Fellow of the Global Labor Organization (GLO).
Prior to ERS, Dean was an Assistant Professor at the Center for Economic Research and Graduate Education (CERGE) in Prague where he taught Public Economics (Ph.D. level) and Econometrics II (Ph.D. level). While in Prague he was also a Senior Researcher at the Economics Institute (EI) of the Academy of Sciences of the Czech Republic. Prior to CERGE, he worked as a consultant at the World Bank primarily on the Living Standards Measurement Study (LSMS) and as a post-doctoral fellow at the International Food Policy Research Institute (IFPRI). In addition to research activities, Dean has also been involved in the management and collection of household survey data from several different countries (Afghanistan, El Salvador, Ethiopia, Paraguay, Pakistan, Egypt, and Mozambique).
Dean received his Ph.D. in Economics from Princeton University in 1996. While finishing his degree, he taught Statistics and Applied Microeconomics (Masters level) as a lecturer at the Woodrow Wilson School of Princeton University. His fields of specialization include applied microeconometrics, development, transition, and public economics. His research focuses on topics related to poverty, inequality, education, household labor supply, and related measurement issues.
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