Development Economics Data Group, The World Bank
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Fields of Specialization
Food security, Education economics, Health economics, Data collection methods, Measuring Poverty
Development Economics Data Group, The World Bank
Externally Hosted Work
Last updated August 29, 2023
Dean Jolliffe is a lead economist in the Development Data Group at the World Bank. He is a member of the Living Standards Measurement Study team and co-lead of the team that works on global poverty measurement (PovcalNet). Previously, he worked in the Research Group and the South Asia region of the World Bank. Prior to joining the World Bank, he was a research economist with the Economic Research Service of the U.S. Department of Agriculture, an assistant professor at Charles University Center for Economic Research and Graduate Education in Prague, an adjunct professor at Johns Hopkins University School of Advanced International Studies, an adjunct professor at Georgetown University Public Policy Institute, and a postdoctoral fellow at the International Food Policy Research Institute. Dean holds appointments as a research fellow with the Institute for the Study of Labor, as a co-opted council member of the International Association for Research in Income and Wealth, and as a fellow of the Global Labor Organization. He received his PhD in economics from Princeton University.
Publication Search Results
Now showing 1 - 7 of 7
Publication(World Bank, Washington, DC, 2015-10) Ferreira, Francisco H. G. ; Chen, Shaohua ; Dabalen, Andrew ; Dikhanov, Yuri ; Hamadeh, Nada ; Jolliffe, Dean ; Narayan, Ambar ; Prydz, Espen Beer ; Revenga, Ana ; Sangraula, Prem ; Serajuddin, Umar ; Yoshida, NobuoThe 2014 release of a new set of purchasing power parity conversion factors (PPPs) for 2011 has prompted a revision of the international poverty line. In order to preserve the integrity of the goalposts for international targets such as the Sustainable Development Goals and the World Bank’s twin goals, the new poverty line was chosen so as to preserve the definition and real purchasing power of the earlier $1.25 line (in 2005 PPPs) in poor countries. Using the new 2011 PPPs, the new line equals $1.90 per person per day. The higher value of the line in US dollars reflects the fact that the new PPPs yield a relatively lower purchasing power of that currency vis-à-vis those of most poor countries. Because the line was designed to preserve real purchasing power in poor countries, the revisions lead to relatively small changes in global poverty incidence: from 14.5 percent in the old method to 14.1 percent in the new method for 2011. In 2012, the new reference year for the global count, we find 12.7 percent of the world’s population, or 897 million people, are living in extreme poverty. There are changes in the regional composition of poverty, but they are also relatively small. This paper documents the detailed methodological decisions taken in the process of updating both the poverty line and the consumption and income distributions at the country level, including issues of inter-temporal and spatial price adjustments. It also describes various caveats, limitations, perils and pitfalls of the approach taken.
Publication(World Bank, Washington, DC, 2015-12-08) Yaacoub, Najwa ; Daher, Mayssaa ; Jolliffe, Dean ; Atamanov, AzizThis brief is based on analysis of the 2011-12 household budget survey (HBS) implemented by Central Administration for Statistics (CAS) with technical assistance from the World Bank. The survey was conducted during the period of September 2011 to November 2012, and was stratified across nine regions. The sample was designed to cover 4,805 households, but due to high non-response, it only includes 2,476 participating households. Poverty numbers presented in this note are not comparable with poverty estimates for other years due to differences in the instruments, fieldwork implementation and to some extent sample design; and also due to differences in the methodology for constructing welfare aggregate and the poverty line. All regional estimates in this report should be viewed with caution given concerns about significant levels of nonresponse and relatively small sample sizes within regions. CAS and the World Bank are working together to improve the quality of future surveys.
Publication(World Bank, Washington, DC, 2020-01) Artuc, Erhan ; Cull, Robert ; Dasgupta, Susmita ; Fattal, Roberto ; Filmer, Deon ; Gine, Xavier ; Jacoby, Hanan ; Jolliffe, Dean ; Kee, Hiau Looi ; Klapper, Leora ; Kraay, Aart ; Loayza, Norman ; Mckenzie, David ; Ozler, Berk ; Rao, Vijayendra ; Rijkers, Bob ; Schmukler, Sergio L. ; Toman, Michael ; Wagstaff, Adam ; Woolcock, MichaelWhat major insights have emerged from development economics in the past decade, and how do they matter for the World Bank? This challenging question was recently posed by World Bank Group President David Malpass to the staff of the Development Research Group. This paper assembles a set of 13 short, nontechnical briefing notes prepared in response to this request, summarizing a selection of major insights in development economics in the past decade. The notes synthesize evidence from recent research on how policies should be designed, implemented, and evaluated, and provide illustrations of what works and what does not in selected policy areas.
Publication(World Bank, Washington, DC, 2021-10) Jolliffe, Dean ; Mahler, Daniel Gerszon ; Veerappan, Malarvizhi ; Kilic, Talip ; Wollburg, PhilipData produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate).
Publication(World Bank, Washington, DC, 2018-05) Jolliffe, Dean ; Seff, Ilana ; de la Fuente, AlejandroThroughout many countries in the world, the measurement of food security currently includes accounting for the importance of perception and anxiety about meeting basic food needs. Using panel data from Malawi, this paper shows that worrying about food security is linked to self-reports of having experienced food insecurity, and the analysis provides evidence that rapidly rising food prices are a source of the anxiety and experiences of food insecurity. This finding controls for individual-level fixed effects and changes in the economic well-being of the individual. A particularly revealing finding of the importance of accounting for anxiety in assessing food insecurity is that individuals report a significant increase in experiences of food insecurity in the presence of rapidly rising food prices even when dietary diversity and caloric intake is stable.
Publication(World Bank, Washington, DC, 2017-05) Kafle, Kashi ; Jolliffe, Dean ; Winter-Nelson, AlexTo assess the conventional view that assets uniformly improve childhood development through wealth effects, this paper tests whether different types of assets have different effects on child education. The analysis indicates that household durables and housing quality have the expected positive effects, but agricultural assets have adverse effects on highest grade completed and no effects on exam performance. Extending the standard agricultural-household model by explicitly including child labor, the study uses three waves of panel data from Tanzania to estimate the effects of household assets on child education. The analysis corrects for the endogeneity of assets and uses a Hausman-Taylor instrumental variable panel data estimator to identify the effects of time-invariant observables and more efficiently control for time-invariant unobservables. The negative effect of agricultural assets is more pronounced among rural children and children from farming households, presumably due to the higher opportunity cost of their schooling.
Publication(Published by Oxford University Press on behalf of the World Bank, 2023-04-14) Jolliffe, Dean ; Mahler, Daniel Gerszon ; Veerappan, Malarvizhi ; Kilic, Talip ; Wollburg, PhilipData produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing rapidly, but we argue the full potential of data to improve development outcomes has not been realized yet. We outline 12 features needed for data to generate greater value for development and present case studies substantiating these features. We argue that a key reason why the transformational value of data has not yet been realized is that suboptimal data—data not satisfying these 12 features—are being supplied. The features are that the data should be of adequate spatial and temporal coverage (complete, frequent, and timely), should be of high quality (accurate, comparable, and granular), should be easy to use (accessible, understandable, and interoperable), and should be safe to use (impartial, confidential, and appropriate).