◊ ◊ ◊ Profile ◊ ◊ ◊
Since 2018, I have been an Associate Professor of Economic Statistics (SECS-S/03) in the Department of Economics and Statistics at the University of Siena. Previously, I served as Assistant Professor (Researcher) in Economic Statistics (SECS-S/03) in the same Department from 2010 to 2018 and, from 2005 to 2010, in the Department of Quantitative Methods at the University of Siena.
I hold a degree in Statistical and Economic Sciences from the University of Siena and a PhD in Applied Statistics from the University of Florence.
My research focuses on the multidimensional measurement of poverty and well-being, statistical models, and objective and subjective indicators in the social, economic, environmental, and demographic fields. I have published extensively on these topics in international peer-reviewed journals.
I currently teach Statistics for Social Surveys in the Master’s Degree Programme in Economics for the Environment and Sustainability and Statistical Analysis for Business in the Master’s Degree Programme in Management and Governance.
◊ ◊ ◊ Main recent publications ◊ ◊ ◊
- Bacchi, F., Neri L. (2026). Measuring population decline through a composite fuzzy index: Evidence from Italian municipalities. Fuzzy Sets and System, Special issue -Fuzzy Indices: New Developments in Theoretical, Computational, and Applied Topics.
- Crescenzi, F., Mori, L., Betti, G., Gagliardi, F., D’Agostino, A., & Neri, L. (2025). An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR. Journal of Applied Statistics, 1-14.
- D’Agostino, A., M. Navarro, L. Neri, A. Sanchez, (2025). Exploring household economic insecurity in Italy and Spain: insights from a trivariate probit regression analysis. Annals of Operations Research, Special Issue: Advances in Statistical Modelling for Social Science; https://doi.org/10.1007/s10479-025-06722-5.
- Crescenzi, F., Neri, L. (2023). Estimating fuzzy measures of deprivation at local level in Tuscany. QUALITY & QUANTITY, 1-20.
- Betti, G., D’Agostino, A., Lemmi, A., Neri, L. (2023). The Fuzzy Approach to Poverty Measurement. In J. Silber (a cura di), Research Handbook on Measuring Poverty and Deprivation (pp. 489-500). Cheltenham: Edward Elgar Publishing.