Bio

In 1995, she obtained her PhD in Applied Statistics at the Università di Firenze. Since 2009 she is Full Professor of Economic Statistics at UER, where she teaches Business Statistics (Bachelor’s Degree) and Statistical Methods for Business Decisions (Master’s Degree). She has been Visiting Student at the University of Florida (USA) and Visiting Professor at the School for Advanced Studies of Institutions, Markets, Technologies (IMT) of Lucca, and at the University of Cordoba (Spain). She has been Director of PhD Programs in Theory and Methods for Economic Analysis, Economics and Management and Applied Statistics at UER and is a member of the PhD School of Statistical Sciences at Università La Sapienza. She is affiliated to several scientific societies including the Italian statistical society, the International Statistical Institute, the American Statistical Association, the Royal Statistical Society, the International Society for Business and Industrial Statistics and the CLAssification and Data Analysis Group. She is also affiliated to the official statistics group of the Italian statistical society and to its group for the evaluation and quality of public and private services. She is Associate Editor of Statistical Methods and Applications and of the Italian Journal of Applied Statistics, and Guest Editor for the journals Quality & Quantity, Social Indicators Research and Italian Journal of Applied Statistics. She is referee for the journals of Official Statistics, Statistical Methods and Applications, Journal of Applied Statistics, Electronic Journal of Applied Statistical Analysis and peer referee of national research projects. She has been responsible or member of several national research groups funded by the Italian Ministry of Research.

Research interests

Study of generalised linear mixed models, structural equation models, multivariate methods, longitudinal models. Diagnostic analysis based on the robust forward search approach for anomalous drive detection and data quality. The applied research focuses mainly on the following topics: labour market, productivity and competitiveness of Italian companies, entrepreneurship, evaluation of higher education processes and public services. She is the author of more than 65 papers published in international journals of Statistics with peer review.

Recent publications

• Bini M., Masserini L., Pratesi M. (2017). Effectiveness of non-selective evaluation test scores for predicting first-year in university career: a zero-inflated beta regression approach, March 2017, Quality & Quantity, vol. 51 (2), 693-708, doi:10.1007/s11135-016-0433-z, ISSN: 0033-5177, IF 0.8
• Bini M., Masserini L. (2016). Students’ satisfaction and teaching efficiency of university offer, Social Indicators Research, vol. 129 (2), 847–862, IF 1.452, ISSN: 0303-8300, doi: 10.1007/s11205-015-1141-0 url: https://link.springer.com/article/10.1007/s11205-015-1141-0
• Bini M., Centra M., Cutillo A., Gualtieri V. (2012). I rendimenti dell’istruzione e della formazione. Rivista SIEDS, Volume LXVI, n°3/4, ISSN 0035-6832, 55-62
• Bini M., Nascia L., Zeli A. (2012). The effect of ownership structure on the relationship between R&D intensity and cash flow. Italian Journal of Applied Statistics, vol. 24 (2), 235-249, ISSN: 1125-1964, Current Index to Statistics, Google Scholar, Web of Science
• Bini M. (2011). Evaluating the external effectiveness of the university education in Italy. New Perspectives in Statistical Modeling and Data Analysis. Series: Studies in Classification, Data Analysis, and Knowledge Organization. S. Ingrassia, R. Rocci, M. Vichi (Eds.), Springer- Verlag, ISBN 978-3-642-11362-8, doi: 10.1007/978-3-642-11363-5_3, 21-28
• Bini M, Bertaccini B, Masserini L. (2011). Italian PhD programme system: evaluating external effectiveness by structural equation models. Italian Journal of Applied Statistics, Vol. 23 (1), 87-101, ISSN: 1125-1964, Current Index to Statistics, Google Scholar, Web of Science
• Bini M., Grilli L., Rampichini C. (2011). Contextual factors of the external effectiveness of the University education: a multilevel approach. Italian Journal of Applied Statistics, Vol. 23 (1), 51-65, ISSN: 1125-1964, , Current Index to Statistics, Google Scholar, Web of Science
• Bini M., Nascia L., Zeli A. (2011). Industry profiles and economic performances: A firm data based study for Italian industries. Italian Journal of Applied Statistics, vol. 23 (3), 331-346, ISSN: 1125-1964, Current Index to Statistics, Google Scholar, Web of Science
• Bini M., Velucchi M. (2011). Italian Firms’ Geographical Location in High-tech Industries: A Robust Analysis. In: B. Fichet et al. (eds.). Classification and Multivariate Analysis for Complex Data Structures, Series: Studies in Classification, Data Analysis, and Knowledge Organization. p. 185-192, Berlin: © Springer-Verlag Berlin Heidelberg, ISBN: 978-3-642-13312-1, doi: 10.1007/978-3-642-13312-1_18
• Bini M., Bertaccini B. (2010). Robust fuzzy classification. In: Palumbo F., Lauro C.N., Greenacre M. (Eds). Data Analysi and Classification. In Studies in Classification, Data Analysis, and Knowledge Organization. p. 399-406, Berlin: © Springer-Verlag Berlin Heidelberg, ISBN: 978-3-642-03738-2, doi: 10.1007/987-3-642-03739-9
• Bini M., Crocetta C. (2010). I laureati di primo livello a confronto. In: Consorzio Interuniversitario AlmaLaurea. (a cura di): Consorzio Interuniversitario AlmaLaurea, XI Rapporto sulla condizione occupazionale dei laureati Occupazione e occupabilità dei laureati. A dieci anni dalla Dichiarazione di Bologna. p. 79-98, BOLOGNA: Il Mulino, ISBN: 9788815133564
• Bini M., Velucchi M. (2010). Made in Italy Firms Competitiveness: A Multilevel Longitudinal Model on Export Performance. In: Yves Lechevallier, Gilbert Saporta, editors. Computational Statistics e-book. p. 809-816, Berlin Heidelberg: Springer-Verlag, ISBN: 978-3-7908-2603-6
• Bini M., Bertaccini B., Bacci S. (2009). Robust diagnostics in university performance studies. In: Monari, P.; Bini, M.; Piccolo, D.; Salmaso, L. (Eds.). Statistical Methods for the Evaluation of Educational Services and Quality of Products. p. 139-160, Heidelberg: Springer Physica-Verlag, ISBN: 978-3-7908-2384-4, doi: 10.1007/978-3-7908-2385-1
• Bini M., Monari P., Piccolo D. and Salmaso L. (2009). Introduction. In: Bini M; Monari P; Piccolo D; Salmaso L. Statistical Methods for the Evaluation of Educational Services and Quality of Products. p. 1-16, Heidelberg, Dordrecht, London: Springer-Verlag Berlin Heidelberg, ISBN: 978-3-7908-2384-4, doi: 10.1007/978-3-7908-2385-1
• Bini M., Monari P., Piccolo D., Salmaso L. (2009). Preface. In: Bini M; Monari P; Piccolo D; Salmaso L. Statistical Methods for the Evaluation of Educational Services and Quality of Products. p. V-VI, Heidelberg, Dordrecht, London: Springer-Verlag Berlin Heidelberg, ISBN: 978-3-7908-2384-4, doi: 10.1007/978-3-7908-2385-1
• Agresti A, Bini M, Bertaccini B, Ryu E (2008). Simultaneous Confidence Intervals for Comparing Binomial Parameters. Biometrics, vol. 64, p. 1270-1275, ISSN: 0006-341X, doi: 10.1111/j.1541-0420.2008.00990.x, IF 1.36