Bank of Italy, Italy
IZA World of Labor role
Author
Current position
Head of the Statistical Analysis Directorate, Bank of Italy, Italy
Research interest
Labor economics, income distribution, poverty, measurement of human well-being
Website
Positions/functions as a policy advisor
Member of the World Bank Commission on Global Poverty; Chair of the International Association for Research in Income and Wealth; Fellow of the Human Development and Capability Association; IZA Policy Fellow; Vice-Chair of the Committee on Monetary, Financial and Balance of Payments Statistics
Qualifications
MSc Economics, London School of Economics, 1988
Selected publications
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The Great Recession and the Distribution of Household Income. Oxford: Oxford University Press, 2013 (with S. P. Jenkins, J. Micklewright, and B. Nolan).
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"Behind and beyond the (headcount) employment rate." Journal of the Royal Statistical Society Series A 179:3 (2016): 657–681 (with E. Viviano).
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"A feasible unemployment-based shock absorber for the Euro area." Journal of Common Market Studies 54:5 (2014): 1123–1141 (with F. Carta and F. D'Amuri).
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“Does the ILO definition capture all unemployment?” Journal of the European Economic Association 4:1 (2006): 153–179 (with P. Cipollone and E. Viviano).
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“Promise and pitfalls in the use of ‘secondary’ data-sets: Income inequality in OECD countries as a case study.” Journal of Economic Literature 39:3 (2001): 771–799 (with A. B. Atkinson).
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Measuring employment and unemployment
Should statistical criteria for measuring employment and unemployment be re-examined?
Andrea BrandoliniEliana Viviano, August 2018Measuring employment and unemployment is essential for economic policy. Internationally agreed measures (e.g. headcount employment and unemployment rates based on standard definitions) enhance comparability across time and space, but changes in real labor markets and policy agendas challenge these traditional conventions. Boundaries between different labor market states are blurred, complicating identification. Individual experiences in each state may vary considerably, highlighting the importance of how each employed or unemployed person is weighted in statistical indices.MoreLess