Event description
This event is part of the 55th Session of United Nations Statistical Commission (UNSC) side events.
Click here to join online!
Wealth is foundational to households’ economic wellbeing. It acts as a safety net during economic shocks; facilitates access to credit; and influences power dynamics within households. In addition, research shows that data on wealth contributes to the study of poverty.
Although survey data collection on wealth is increasingly important to study vulnerability and the distributional effects of economic policies, it continues to be limited in low- and middle-income countries (LMICs). And the lack of data is a significant constraint for effective policy making.
Against this background, the World Bank, in partnership with the Bank of Italy and the Luxembourg Income Study, has developed a draft of interim guidelines to collect data on wealth in household surveys implemented in LMICs.
The objectives of this event will be to:
- Presenting the key takeaways from the draft interim guidelines.
- Receiving stakeholder feedback on recommendations.
- Identifying partners to refine the work done, pilot test proposals, and promote the adoption of the final guidelines.
Join us on February 20, from 9:00 am to 10:30 a.m. EST!
Speakers
Giovanni D'Alessio is a Lead Statistician at the World Bank’s Center for Development Data (C4D2), where he coordinates the work of researchers developing the Guidelines for Measuring Wealth in Household Surveys in Low- and Middle-Income Countries. He was Head of the Sample Survey Division of the Economics and Statistics Department at the Bank of Italy for 15 years. He has written extensively on wealth, income and inequality. He has a PhD in Methodological Statistics from the Sapienza University of Rome.
Andrea Neri is a Senior Statistician at the Bank of Italy and Head of the Sample Surveys Division. He is also a member of international experts’ groups focused on measuring household wealth through sample surveys. His areas of research include non-sampling errors, calibration, survey methods, wealth and income distribution.
Irene Toma is a development economist who works as a consultant for the World Bank, as well as other international organizations and research institutions, with experience both at field and headquarters levels. In recent years, she has worked on different projects, focusing on wealth, gender, agriculture, food security and governance. She holds a bachelor’s degree and a master’s degree in Development Economics from the University of Florence.
Margarita F. Guerrero is a development statistician. She has over 40 years of experience as academic, official statistician, expert advisor, innovator and leader in statistical capacity building in national, regional and global settings. Improving availability and access to disaggregated data, with gender data as a focus, and statistics for policy use, are her lifelong passion. She led and directed statistical programs at the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), at the University of the Philippines and at the Philippine Statistics Office. She holds a PhD in Statistics from Iowa State University.