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Olivier Dupriez

Olivier Dupriez is a Lead Statistician with the World Bank’s Development Data Group. He is an advisor to the Data Group on issues related to data management and analytics. Recently Olivier has been leading a work program focusing on exploiting metadata standards, machine learning, and natural language processing models to improve data and knowledge discoverability. He is also a contributor to the development of software applications for data documentation, anonymization, and dissemination.

Olivier joined the World Bank in 2004 to establish the International Household Survey Network (IHSN). He worked with multiple international partners on the development and implementation of tools, guidelines, and good practice on microdata curation, dissemination, and protection. 

Prior to joining the World Bank, Olivier worked for four years as a Poverty Statistician with the Asian Development Bank, for five years as a resident expert in population census for the United Nations and European organizations in Cape Verde, Chad, and North Macedonia, and for four years as a consultant (survey statistician) for the World Bank’s Africa region in Djibouti and in Washington, DC. Olivier is experienced in designing and conducting surveys and censuses, in data analysis using Stata and R, and in data management and dissemination.

Featured Research

Simulation of Synthetic Complex Data: The R Package simPop

Matthias Templ, Bernhard Meindl, Alexander Kowarik, and Olivier Dupriez, Journal of Statistical Software, 2017.

Synthetic population datasets have become an important instrument for policy micro-simulation. The performance and acceptability of such data rely on the statistical similarity between the synthetic and the true population of interest. We provide an overview of the approaches used for generating synthetic data, and introduce simPop, an open source data synthesizer.

Improving Household Consumption and Expenditures Surveys to Enable More Evidence-Based Nutrition Policies

John L. Fiedler, Calogero Carletto, and Olivier Dupriez, Food and Nutrition Bulletin, 2012

The constrained evidence base of food and nutrition policy-making compromises nutrition programs. Although Household Consumption and Expenditures Surveys have shortcomings, they are increasingly being used to address this information gap. Elements of a possible approach and process for strengthening the surveys are outlined.

Purchasing Power Parity Exchange Rates for the Global Poor

Angus Deaton and Olivier Dupriez. American Economic Journal: Applied Economics, 2011.

The price indexes that underlie the PPPs used for the global poverty count are constructed for purposes of national income accounting, using weights that represent patterns of aggregate consumption, not the consumption patterns of the global poor. We use household surveys from 62 developing countries to calculate global poverty-weighted PPPs and to calculate global poverty lines and new global poverty counts.


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