Papers in Peer-Reviewed International journals
- Schirripa Spagnolo, F., Borgoni R., Carcagnì A., Michelangeli A., Salvati N. (2023). A spatial semiparametric M-quantile regression for hedonic price modelling. AStA Advances
in Statistical Analysis. https://doi.org/10.1007/s10182-023-00476-w
Classe A Anvur per settore 13/D1-D4. SJR: Q2 per Statistics and Probability - Schirripa Spagnolo, F., Salvati, N., & Mauro, V. (2021). Generalised M-quantile random-effects model for discrete response: an application to the number of visits to physicians. Biometrical Journal 63(4), pp. 859–874. https://doi.org/10.1002/bimj.202000180
Rivista Classe A Anvur per settore 13/D1-D4. SJR: Q1 per Statistics and Probability - Reitano, A., Fazio, M., Schirripa Spagnolo, F., Karanasio, N. (2021). The Covid-19 Impact on the Tourism Industry: Short Holidays within National Borders. Symphonya. Emerging Issues in Management 2, 85–98. https://doi.org/10.4468/2021.2.08reitano.fazio.schirripa.karanasios
- D’Agostino, A., Schirripa Spagnolo, F., & Salvati, N. (2021). Studying the relationship between anxiety and school achievement: evidence from PISA data. Statistical Methods and Applications. https://doi.org/10.1007/s10260-021-00563-9
Rivista Classe A per settore 13/D1-D3. SJR: Q2 per Statistics and Probability - Schirripa Spagnolo F., Salvati N., D’Agostino A, Nicaise I. (2020). The use of sampling weights in M-quantile random-effects regression: an application to Programme for International Student Assessment mathematics scores. Journal of the Royal Statistical Society: Series C (Applied Statistics) 69(4), pp. 991–1012. https://doi.org/10.1111/rssc.12418
Rivista Classe A Anvur per settore 13/D1-D4. SJR: Q1 per Statistics and Probability - Schirripa Spagnolo F., D’Agostino A., Salvati N.(2018). Measuring differences in economic standard of living between immigrant communities in Italy. Quality & Quantity 52, pp. 1643-1667. https://doi.org/10.1007/s11135-017-0542-3
Rivista Classe A Anvur per settore 13/D1-D4. SJR: Q2 per Statistics and Probability - Grilli G., Schirripa Spagnolo F. (2015). Relazioni sociali e qualità ambientale: due determinanti dell’esclusione sociale dei bambini in Italia, Rassegna Economica n. 2/2015. ISSN: 1593-03199
Chapters in Books (peer-reviewed) and Proceedings (peer-reviewed)
- 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
- Borgoni R., Carcagn`ı A., Michelangeli A., Salvati N., Schirripa Spagnolo, F. (2022). Semiparametric M quantile regression for modelling georeferenced housing price data. In Balzanella, A., Bini, M., Cavicchia, C., Verde, R. (Eds). Book of Short Papers. SIS 2022, pp. 1332-1337. Pearson. ISBN: 9788891932310
- Pratesi M.,Schirripa Spagnolo F., Bertarelli G., Marchetti S., Scannapieco M., Salvati N., Summa D. (2022). Inference for big data assisted by small area methods: an application to OBEC (on-line based enterprise characteristics). In Balzanella, A., Bini, M., Cavicchia, C., Verde, R. (Eds). Book of Short Papers. SIS 2022, pp. 305-311. Pearson. ISBN: 9788891932310
- Bertarelli G., Schirripa Spagnolo F., Salvati N., Pratesi M. (2021). Small area estimation of agricultural data in R. In Benedetti, P., Postiglione and F. Piersimoni (Eds.) Spatial Econometric Methods in Agricultural Economics Using R, pp. 202-234. Taylor & Francis Inc. ISBN:978-1-498-76681-4
- Schirripa Spagnolo F., Bertarelli G., Chambers R., Haziza D. and Salvati N. (2021). Controlling the bias for M-quantile estimators for small area. In Pratesi M., Siciliano R., D’Ambrosio A. & Bertarelli, G. (eds.) Book of Short Papers SAE 2021 BIG4small, pp. 119-124. FedOA – Federico II University Press, Napoli (e-ISBN: 978-88-9959-413-8).
- Bertarelli G., Schirripa Spagnolo F., Chambers R. and Haziza D.(2021). On bias correction in small area estimation: An M-quantile approach. In Book of short papers SIS 2021, pp. 1200-1205. Pearson. ISBN: 9788891927361
- Schirripa Spagnolo F. and Mauro V. (2020). Generalized M-quantile random effects
model. In Book of short papers SIS 2020, pp. 1236-1241. Pearson. ISBN: 9788891910776 - Borgoni R., Carcagn`ı A., Michelangeli A., Salvati N., Schirripa Spagnolo, F. (2020). Spatial M-quantile regression with covariate measurement error. In Borgoni R., Michelangeli A. (Eds.), New Economic & Statistical Perspectives on Urban and Territorial Themes (NESPUTT 2019). Book of Short Papers and Proceedings. libreriauniversitaria.it (ISBN: 978-88-3359-209-1)