LOVAGLIO PIETRO GIORGIO
- U07, Piano: 4, Stanza: 4119
IL ricevimento è mercoledi 1130-1330, aula 2075 (II piano U7).
Biografia
Pietro Giorgio Lovaglio is Full Professor of Economic Statistics at the Department of Statistics and Quantitative Methods, University of Bicocca-Milan.
He is Senior Researcher of Research Center CRISP (http://www.crisp-org.it/) at University of Bicocca Milan, Member of the Scientific committee of the PhD program “Economics, Statistics and Data Science“ .
He has coordinated scientific consortia and participated as a senior researcher in a wide range of competitive international projects (EU projects, international tenders, Horizon), funded by major European institutions and research centers.
He is an expert of Data mining, machine learning. His current research topics are in the area of: model selection, models for high-dimensional data, hierarchical models and models for latent variables.
Whitin it’s didactic activities (Data mining and Computational statistics) is offered an International SAS certification “Predictive modeler using SAS Enterprise miner”.
He is the author of over 90 papers on peer-reviewed journals (Google Scholar, >1300 citations, H-Index = 20) and has published among others in: Econometric reviews, Quality and Quantity, Journal of economic surveys, Journal of Forecasting, Structural change and economic dynamics, Computational Statistics and data analysis, The Lancet Infectious Diseases, Health Policy, PlosOne and Springer books.
Concerning the area of applied statistics, he conducted research and participated to research projects in several areas such as: Human Capital estimation, earnings trajectories and education returns, Evaluation methods in Health and Education (effectiveness and efficiency), Labour Market Outcomes and transition analysis, Analysis of labour earnings and education levels, Analysis of labour market analysis with administrative data, Quality assessment and evaluation in public services.
Pubblicazioni
Lovaglio, P., Riussi, M. (2025). How is Labour Demand Changing Across European Regions in the Post-COVID-19 Era. INTERNATIONAL REGIONAL SCIENCE REVIEW [10.1177/01600176251327985]. Dettaglio
Lovaglio, P., Berta, P. (2025). Personal and regional risk factors of being a NEET: a comparative study in Italy, France and Germany with LFS microdata. QUALITY & QUANTITY, 59(2), 1203-1234 [10.1007/s11135-024-02015-4]. Dettaglio
Muzzì, S., Berta, P., Lovaglio, P., Verzillo, S. (2025). The Impact of COVID-19 Pandemic on Non-deferrable Diseases. In E. di Bella, V. Gioia, C. Lagazio, S. Zaccarin (a cura di), Statistics for Innovation IV SIS 2025, Short Papers, Contributed Sessions 3 (pp. 79-85). Springer Nature [10.1007/978-3-031-96033-8_14]. Dettaglio
Boracchini, R., Canova, B., Ferrara, P., Barbieri, E., Lovaglio, P., Scamarcia, A., et al. (2025). Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study. BMC PUBLIC HEALTH, 25(1) [10.1186/s12889-025-21984-1]. Dettaglio
Lovaglio, P. (2025). Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe. JOURNAL OF FORECASTING, 44(2 (March 2025)), 753-780 [10.1002/for.3224]. Dettaglio
Progetti di ricerca
Premi e responsabilità scientifiche
Direzione o responsabilità di ente
- Responsabile della Sezione scientifica “Metodologie e Statistiche per il Welfare” del Centro Interuniversitario Servizi di Pubblica Utilità, Università degli Studi di Milano Bicocca - Università degli Studi di MILANO-BICOCCA, 2014 - 2018
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Membro del Consiglio Statistico provinciale e del Comitato Tecnico Scientifico presso
ISPAT- Istituto di statistica della provincia autonoma di Trento - Provincia autonoma di Trento, 2014 - 2019