My work takes place mainly in scientific communities identified by four fields of research: (I) Survey methods and sampling methodology, estimation for small areas; (ii) Poverty Studies; iii) Official statistics; iv) Data for policy planning and monitoring
Recent Publications (selection):
- Pratesi M., Marchetti S., Giusti C., Salvati N. (2023). The Use of Spatial Information in Area-level Models: An Evaluation Based on Auxiliary Data Availability. Calcutta Statistical Association Bullettin, vol. 75, p. 155-172, ISSN: 0008-0683, doi: 10.1177/00080683231198589
- Schirripa Spagnolo, F., Bertarelli, G., Salvati, N. , Summa, D. , Scannapieco, M., Marchetti, S. and Pratesi, M.(2023) “Reducing selection bias in non-probability sample by Small Area Estimation.”In Coretto, Giordano, La Rocca Parrella, Rampichini (eds.). CLADAG 2023 – book of abstracts and short papers. Pearson Italy. (pp. 288-291).
- Pratesi M. (2022), Povertà educativa: perché e come misurarla anche a livello territoriale. Alcune analisi e proposte. Politiche sociali, Fascicolo 3/2022, pp: 373-398
- Biggeri L.,Pratesi M. (2022), Estimation of local Spatial Price Indices using scanner data: methods and experiments applied also for assessing poor-specific indices. Review of Official Statistics, n.2, pp:9-42.
- Tonutti, G., Bertarelli, G., Giusti, C. and Pratesi, M. (2022) Disaggregation of poverty indicators by small area methods for assessing the targeting of the Reddito di Cittadinanza national policy in Italy in Socio-Economic Planning Sciences, vol. 82, pp. 101327 (ISSN 0038-0121)
- Pratesi M., Schirripa Spagnolo, F. (2022). Small area methodology for measuring poverty at a local level. In Silber J. (Ed.). Research Handbook on Measuring Poverty and Deprivation, pp. 129-140. Edward Elgar Publishing Limited. ISBN: 9781800883444
- Bertarelli G., Schirripa Spagnolo F., Salvati N., Pratesi M. (2021). Small area estimation of agricultural data in R. In Postiglione P., Benedetti R. and Piersimoni F. (Eds.), Spatial Econometric Methods in Agricultural Economics Using R, pp. 202-234. Taylor & Francis Inc. ISBN:9781498766814
- Pratesi M, Ceccarelli C, Menghinello S. (2021), “Citizen generated data and Official Statistics: an application to SDGs indicators”, Discussion paper n 274, Department of Economics and Management, University of Pisa
- Bertarelli, G., D’Agostino, A. , Giusti, C & Pratesi, M. (2021). Measuring Educational Poverty in Italy: a Multidimensional and Fuzzy Approach (in press: 2020). in Betti, G., Lemmi, A. (eds.), Analysis of Socio-Economic Conditions: Insights from a Fuzzy Multidimensional Approach. London and New York: Routledge
- Pratesi, M., Quattrociocchi, L., Bertarelli, G., Gemignani, A. & Giusti, C. (2020). Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation. Social Indicators Research. https://doi.org/10.1007/s11205-020-02328-5