Pubblications

Publications in peer-reviewed journals

1. Merlo, L., Petrella, L., Salvati, N. & Tzavidis, N. (2023). Unified unconditional regression for multivariate quantiles, M-quantiles and expectiles. Journal of the American Statistical Association T&M, https://doi.org/10.1080/01621459.2023.2250512. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


2. Lahiri, P. & Salvati, N. (2023). A Nested Error Regression Model with High Dimensional Parameter for Small Area Estimation. Journal of the Royal Statistical Society. Series B: Statistical Methodology, Volume 85, 212–239, https://doi.org/10.1093/jrsssb/qkac010.
 Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


3. Chambers, R., Fabrizi, E., Ranalli, M.G., Salvati, N. & Wang, S. (2023). Robust regression using probabilistically linked data. Wiley Interdisciplinary Reviews: Computational Statistics, 15, e1596, https://doi.org/10.1002/wics.1596. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


4. Ranjbara, S., Salvati, N. & Pacini, B. (2023) Estimating heterogeneous causal effects in observational studies using small area predictors. Computational Statistics & Data Analysis, 184 (107742). Classifica rivista: fascia A Anvur. 


5. Schirripa-Spagnolo, Borgoni, R., F., Carcagní, A., Michelangeli, A., & Salvati, N. (2023). A spatial semiparametric M-quantile regression for hedonic price modelling. Journal of the Royal Statistical Society. Series C: Applied Statistics, https://doi.org/10.1093/jrsssc/qlad086. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


6. Harmening, S., Kreutzmann, A.K., Schmidt, S., Salvati, N. & Schmid, T. (2023). A Framework for Producing Small Area Estimates Based on Area-Level Models in R. Articolo accettato e in corso di pubblicazione in The R Journal. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


7. Ranalli, M.G., Salvati, N., Petrella, L. & Pantalone, F. (2023). M-quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality. Biometrical Journal, 10.1002/bimj.202100355. Classifica rivista: fascia A Anvur. 


8. 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. Classifica rivista: fascia A Anvur.

9. Dawber, J., Salvati, N., Fabrizi, E. & Tzavidis, N. (2022). Expectile regression for multicategory outcomes with application to small area estimation of labour force participation. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185, S590-S619. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


10. Chambers, R., Ranjbar, S., Salvati, N. & Pacini, B. (2022). Weighting, informativeness and causal inference, with an application to rainfall enhancement. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185, 1584-1612. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


11. Merlo, L., Petrella, L., Salvati, N. & Tzavidis, N. (2022). Marginal M-quantile regression for multivariate dependent data. Computational Statistics and Data Analysis, 173, 1-24 (107500). Classifica rivista: fascia A Anvur. 


12. D’Agostino, A., Schirripa-Spagnolo, F., & Salvati, N. (2022). Studying the relationship between anxiety and school achievement: evidence from PISA data. Statistical Methods & Applications, 31, 1-20. Classifica rivista: fascia A Anvur. 


13. Kreutzmann, A.K., Marek, P., Runge, M., Salvati, N. & Schmid, T. (2022). The Fay-Herriot model for multiply imputed data with an application to regional wealth estimation in Germany. Journal of Applied Statistics, 49, 3278-3299. 


14. A Perutelli, A., Domenici, L., Garibaldi, S., Albanesi, G., Baroni, C., Salvati, L., Salvati, N., Cecchi, E., Bottone, P. & M.G. Salerno (2022) Efficacy and safety of robotic-assisted surgery in challenging hysterectomies - a single institutional experience. European Review for Medical and Pharmacological Sciences, 26, 1235 - 1240.

15. Salvati, N., Fabrizi, E., Ranalli, M.G. & Chambers, R. (2021). Small Area Estimation with Linked Data. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 83, 78-107. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


16. Alfò, M., Marino, M.F., Ranalli, M.G., Salvati, N. & Tzavidis, N. (2021). M-quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study. Journal of the Royal Statistical Society. Series C: Applied Statistics, 70, 122-146. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


17. Schirripa-Spagnolo, F., Mauro, V. & Salvati, N. (2021). Generalised M-quantile random-effects model for discrete response: An application to the number of visits to physicians. Biometrical Journal, 63, 859-874 146. Classifica rivista: fascia A Anvur. 


18. Frumento, P. & Salvati, N. (2021). Parametric modeling of quantile regression coefficient functions with count data. Statistical Methods & Applications, 30, 1237-1258. Classifica rivista: fascia A Anvur. 


19. Bertarelli, G., Chambers, R. & Salvati, N. (2021). Outlier robust small domain estimation via bias correction and robust bootstrapping. Statistical Methods & Applications, 30, 331-357. Classifica rivista: fascia A Anvur. 

20. 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, 991-1012. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


21. Fabrizi, E., Salvati, N. & Trivisano, C. (2020). Small area estimation based on flexible quantile regression. Computational Statistics and Data Analysis, 145, 1-15 (106900). Classifica rivista: fascia A Anvur. 


22. Frumento, P. & Salvati, N. (2020). Parametric modelling of M-quantile regression coefficient functions with application to small area estimation. Journal of the Royal Statistical Society. Series A: Statistics in Society, 183, 229-250. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


23. Fiaschi, D., Giuliani, E., Nieri, F. & Salvati, N. (2020). How bad is your company? Measuring corporate wrongdoing beyond the magic of ESG metrics. Business Horizons, 63, 287-299. Classifica rivista: Scopus (2021): Q1 (Business and International Management). 


24. Marino, M.F., Ranalli, M.G., Salvati, N. & Alfò, M.(2019). Semi-parametric Empirical Best prediction for small area estimation of unemployment indicators. Annals of Applied Statistics, 13, 1166-1197. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


25. Chambers, R., Salvati, N., Fabrizi, E. & da Silva, A.D. (2019). Domain estimation under informative linkage. Statistical Theory and Related Fields, 3, 90-102. 


26. Del Sarto, S., Marino, M.F., Ranalli, M.G., & Salvati, N. (2019). Using finite mixtures of M-quantile regression models to handle unobserved heterogeneity in assessing the effect of meteorology and traffic on air quality. Stochastic Environmental Research and Risk Assessment, 33, 1345-1359. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Environmental Science). 


27. Sobotka, F.O., Kneib, T., Salvati, N. & Ranalli, M.G.(2019). Adaptive Semiparametric M- Quantile Regression. Econometrics and Statistics, 11, 116-129. 


28. Borgoni, R., Carcagnì, A., Salvati, N. & Schmid, T. (2019). Analysing radon accumulation in the home by flexible M-quantile mixed effect regression. Stochastic Environmental Research and Risk Assessment, 33, 375-394. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Environmental Science). 


29. Chandra, H., Salvati, N. & Chambers, R. (2019). Small Area Estimation of Survey Weighted Counts under Aggregated Level Spatial Models. Survey Methodology, 45, 31-59. 


30. Chandra, H., Salvati, N. & Chambers, R. (2018). Small Area Prediction under Nonparametric Generalized Linear Mixed Model. Journal of Computational Statistics and Data Analysis, 126, 19-38. Classifica rivista: fascia A Anvur. 


31. Marchetti, S., Berkesewicz, M., Salvati, N., Szymkowiak M. & Wawrowski, L. (2018). The use of a three-level M-quantile model to map poverty at local administrative unit 1 in Poland. Journal of the Royal Statistical Society. Series A: Statistics in Society, 181, 1077-1104. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


32. Baldermann, C., Salvati, N. & Schmid, T. (2018). Robust Small Area Estimation under Spatial Non-Stationarity. International Statistical Review, 86, 136-159. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


33. Bianchi, A., Fabrizi, E., Salvati, N. & Tzavidis, N. (2018). Estimation and testing in M-quantile Regression with applications to small area estimation. International Statistical Review, 86, 541-570. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


34. Borgoni, R., Del Bianco, P., Salvati, N., Schmid, T. & Tzavidis, N. (2018). Modelling the distribution of health-related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression. Statistical Methods in 
Medical Research, 27, 549-563. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 

35. Schirripa Spagnolo, F., D’Agostino, A. & Salvati, N. (2018). Measuring differences in economic 
standard of living between immigrant communities in Italy. Quality And Quantity, 52, 1643-1667. 
Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


36. Chandra, H. & Salvati, N. (2017). Small Area Estimation of Proportions under a Spatial Dependent Aggregated Level Random Effects Model. Communications In Statistics. Theory And 
Methods, 47, 1234-1255. 

37. Alfò, M., Salvati, N. & Ranalli, M.G. (2017). Finite mixtures of quantile and M-quantile 
regression models. Statistics & Computing, 27, 547-570. Classifica rivista: fascia A Anvur; 
Scopus (2021): Q1 (Statistics and Probability). 


38. Schmid, T., Bruckschen, F., Salvati, N. & Zbiranski (2017). Constructing socio-demographic 
indicators for NSI using mobile data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 180, 1163-1190. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


39. Marchetti, S., Giusti, C., Salvati, N. & Pratesi, M. (2017). Small area estimation based on M-quantile models in presence of outliers in auxiliary variables. Statistical Methods & Applications, 26, 531-555. Classifica rivista: fascia A Anvur. 


40. Chandra, H., Salvati, N. & Chambers, R. (2017). Small area prediction of counts under a non-stationary spatial model. Spatial Statistics, 20, 30-56. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


41. Oliveri, F., Surace, L., Cavallone, D., Colombatto, P., Ricco, G., Salvati, N., Coco, B., Romagnoli, V., Gattai, R., Salvati, A., Moriconi, F., Yuan, Q., Bonino, F. & Brunetto, M.R. (2017). Long- term outcome of inactive and active, low viraemic HBeAg-negative-hepatitis B virus infection: Benign course towards HBsAg clearance. Liver International, 37, 1622-1631. Classifica rivista: Scopus (2021): Q1 (Hepatology). 


42. Tzavidis, N., Salvati, N., Schmid, T., Flouri, E. & Midouhas, E. (2016). Longitudinal analysis of the Strengths and Difficulties Questionnaire scores of the Millennium Cohort Study children in England using M-quantile random effects regression. Journal of the Royal Statistical Society. Series A: Statistics in Society, 179, 427-452. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


43. Chambers, R., Salvati, N. & Tzavidis, N. (2016). Semiparametric small area estimation for binary outcomes with application to unemployment estimation for Local Authorities in the UK. Journal of the Royal Statistical Society. Series A: Statistics in Society, 179, 453-479. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


44. Romano, G., Salvati, N. & Guerrini, A. (2016).An Empirical Analysis of the Determinants of Water Demand in Italy. Journal Of Cleaner Production, 130, 74-81. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Strategy and Management, General Environmental Science). 


45. Bianchi, A. & Salvati, N. (2015). Asymptotic properties and variance estimators of the M- quantile regression coefficients estimators. Communications in Statistics - Theory and Methods, 44, 2416-2429. 


46. Pratesi, M., Giusti, C., Marchetti, S., Salvati, N., Pappalardo, L., Pedreschi, D. & Giannotti, F. (2015). Small area model-based estimators using Big Data sources. Journal of Official Statistics, 31, 263-281. Classifica rivista: fascia A Anvur. 


47. Chandra, H., Salvati, N. & Chambers, R. (2015). A Spatially Nonstationary Fay-Herriot Model for Small Area Estimation. Journal Of Survey Statistics And Methodology, 3, 109-135. 


48. Tzavidis, N., Ranalli, M.G., Salvati, N., Dreassi, E. & Chambers, R. (2015). Robust small area prediction for counts. Statistical Methods in Medical Research, 24, 373-395. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


49. Chambers, R., Chandra, H., Salvati, N. & Tzavidis, N. (2014).Outlier Robust Small Area Estimation. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 76, 47-69. 
Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 

50. Chambers, R., Dreassi, E. & Salvati, N. (2014). Disease Mapping via Negative Binomial Regression M-quantiles. Statistics in Medicine, 33, 4805-4824. Classifica rivista: fascia A Anvur; 
Scopus (2021): Q1 (Statistics and Probability). 


51. Dreassi, E., Ranalli, M.G. & Salvati, N. (2014).Semiparametric M-quantile Regression for Count 
Data. Statistical Methods in Medical Research, 23, 591-610. Classifica rivista: fascia A Anvur; 
Scopus (2021): Q1 (Statistics and Probability). 


52. Fabrizi, E., Salvati, N., Pratesi, M. & Tzavidis, N. (2014). Outlier robust model-assisted small 
area estimation. Biometrical Journal, 56, 157-175. Classifica rivista: fascia A Anvur. 


53. Giusti, C., Tzavidis, N., Pratesi, M. & Salvati, N. (2014). Resistance to outliers of M-quantile and robust random effects small area models. Communications in Statistics - Simulation and 
Computation, 43, 549-568. 


54. Fabrizi, E., Salvati, N., Giusti, C. & Tzavidis, N. (2014). Mapping Average Equivalized Income 
Using Robust Small Area Methods. Papers in Regional Science, 93, 685-701. Classifica rivista: 
fascia A Anvur; Scopus (2021): Q1 (Social Sciences, Environmental Science). 


55. Romano, G., Salvati, N. & Guerrini, A. (2014). Estimating the determinants of residential water demand in Italy. WATER, 6, 2929-2945. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 
(Social Sciences, Environmental Science, Biochemistry). 


56. Romano, G., Salvati, N. & Guerrini, A. (2014). Factors affecting water utility companies’ 
decision to promote the reduction of household water consumption. WATER RESOURCES MANAGEMENT, 28, 5491-5505. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Environmental Science, Civil and Structural Engineering). 


57. Romano, G., Salvati, N., Guerrini, A. (2014). Estimating the determinants of residential water demand in Italy. Forests, 5, 2929-2945. Classifica rivista: Scopus (2021): Q1 (Agricultural and Biological Sciences). 


58. Benedetti, R., Pratesi, M. & Salvati, N. (2013). Local stationarity in small area estimation models. Statistical methods & applications, 22, 81-95. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


59. Romano, G., Salvati, N., Martini, M. & Guerrini, A. (2013). Water utilities and the promotion of sustainable water use: an international insight. Environmental Engineering And Management Journal, 12, 129-132. 


60. Giusti, C., Marchetti, S., Pratesi, M. & Salvati, N. (2012). Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators. Survey Research Methods, 3, 155-163. Classifica rivista: Scopus (2021): Q1 (Social Sciences). 


61. Salvati, N., Tzavidis, Pratesi, M. & Chambers, R. (2012). Small Area Estimation Via M-quantile Geographically Weighted Regression. TEST, 21, 1-28. Classifica rivista: fascia A Anvur; Scopus (2021): Q1 (Statistics and Probability). 


62. Fabrizi, E., Salvati, N. & Pratesi, M. (2012). Constrained Small Area Estimators Based on M-Quantile Methods. Journal of Official Statistics, 28, 1-15. 


63. Giusti, C., Marchetti, S., Pratesi, M. & Salvati, N. (2012). Semiparametric Fay-Herriot model using Penalized Splines. Journal of the Indian Society of Agricultural Statistics, 66, 1-14. 


64. Tzavidis, N., Salvati, N., Chambers, R. & Chandra, H. (2012). Small Area Estimation in Practice: An Application to Agricultural Business Survey Data. Journal of the Indian Society of Agricultural Statistics, 66, 213-238. 


65. Chandra, H., Salvati, N., Chambers, R. & Tzavidis, N. (2012). Small Area Estimation under Spatial Nonstationarity. Journal of Computational Statistics and Data Analysis, 56, 2875-2888. Classifica rivista: fascia A Anvur. 


66. Salvati, N., Chandra, H. & Chambers, R. (2012). Model Based Direct Estimation of Small Area Distributions. Australian and New Zealand Journal of Statistics, 54, 103-123. 


67. Chandra, H., Chambers, R. & Salvati, N. (2012). Small Area Estimation of Proportions in Business Surveys. Journal of Statistical Computation & Simulation, 82, 783-795. Classifica 
rivista: fascia A Anvur. 

68. Chandra, H., Sud, U.C. & Salvati, N. (2011). Estimation of District level poor household in 
the state of Uttar Pradesh in India by combining NSSO Survey and Census Data. Journal of the 
Indian Society of Agricultural Statistics, 65, 83-90. 


69. Chandra, H., Salvati, N. & Sud, U.C. (2011). Disaggregate-level estimates of indebtedness in 
the state of Uttar Pradesh in India-an application of small area estimation technique. Journal of 
Applied Statistics, 38, 2413-2432. 


70. Salvati, N., Ranalli, M.G. & Pratesi, M. (2011). Small area estimation of the mean using 
non-parametric M-quantile regression: a comparison when a linear mixed model does not hold. 
Journal of Statistical Computation and Simulation, 81, 945-964. 


71. Bonanni, E., Tognoni, G., Maestri, M., Salvati, N., Fabbrini, M., Borghetti, D., Di Coscio, E., 
Choub, A., Sposito, R., Pagni, C., Iudice, A. & Murri, L. (2010). Sleep disturbances in elderly subjects: an epidemiological survey in an Italian district. Acta Neurologica Scandinavica, 122, 389-397. 


72. Salvati, N., Chandra, H., Ranalli, M.G. & Chambers, R. (2010). Small Area Estimation Using a Nonparametric Model Based Direct Estimator. Journal of Computational Statistics and Data Analysis, 54, 2159-2171. Classifica rivista: fascia A Anvur. 


73. Giusti, C., Pratesi, M. & Salvati, N. (2009). Small area methods in the estimation of poverty indicators: the case of Tuscany. Politica Economica, 3, 369-380. 


74. Pratesi, M. & Salvati, N. (2009). Small area estimation in the presence of correlated random area effects. Journal of Official Statistics, 25, 37-53. 


75. Molina, I., Salvati, N. & Pratesi, M. (2009). Bootstrap for estimating the mean squared error of the Spatial Eblup. Computational Statistics, 24, 441-458. 


76. Salvati, N., Pratesi, M., Tzavidis, N. & Chambers, R. (2009). Spatial M-quantile Models for Small Area Estimation. Statistics in Transition, 10, 251-267. 


77. Pratesi, M., Ranalli, M.G. & Salvati, N. (2009). Semiparametric M-quantile Regression using Penalized Splines. Journal of Nonparametric Statistics, 21, 287-304. 


78. Pratesi, M., Ranalli, M.G. & Salvati, N. (2008). Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US. Environmetrics, 19, 687-701. Classifica rivista: fascia A Anvur. 


79. Petrucci, A., Salvati, N., Salvini, S. & Vignoli, D. (2008). Invecchiamento e Mobilità nell’area Metropolitana Fiorentina (in italiano). Rivista di economia e statistica del territorio, 2, 81-103. 


80. Pratesi, M. & Salvati, N. (2008). Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects. Statistical methods & applications, 17, 114-131. Classifica rivista: fascia A Anvur. 


81. Tzavidis, N., Salvati, N., Pratesi, M. & Chambers, R. (2008). M-quantile Models with Application to Small Area Estimation and Poverty Mapping. Statistical methods & applications, 17, 393-411. Classifica rivista: fascia A Anvur. 


82. Geraci, M. & Salvati, N. (2007). The geographical distribution of the consumption expenditure in Ecuador. Estimation and mapping of the regression quantiles. Italian Journal of Applied Statistics, 19, 167-183. 


83. Chandra, H., Salvati, N. & Chambers, R. (2007). Small area estimation for spatially correlated populations. A comparison of direct and indirect model-based methods. Statistics in Transition, 8, 887-906. 


84. Puccinelli, A., Cantarelli, E., Casarosa, N., Avanzi, G., Falaschi, F., Giannecchini, R., Pochini, A., Ribolini, A., Bottai, M., Salvati, N. & Testi, C. (2007). Multidisciplinary investigations in evaluating landslide susceptibility - An example in the Serchio River valley (Italy). Quaternary International, 171, 52-63. Classifica rivista: Scopus (2021): Q1 (Earth and Planetary Sciences). 


85. Petrucci, A. & Salvati, N. (2006). Small Area Estimation considering Spatial Correlation in Watershed Erosion Assessment Survey. Journal of Agricultural Biological and Environmental Statistics, 11, 169-182. 


86. Bottai, M., Salvati, N. & Orsini, N. (2006). Multilevel models for analyzing people’s daily moving behavior. Journal of Geographical Systems, 8, 97-108. Classifica rivista: Scopus (2021): Q1 (Social Sciences). 


87. Petrucci, A., Pratesi, M. & Salvati N. (2005). Geographic Information in Small Area Estimation: Small Area Models and Spatially Correlated Random Area Effects. Statistics in Transition, 7, 609-623. 


88. Petrucci, A., Salvati, N. & Seghieri, C. (2004). Autologistic regression model for poverty mapping and analysis. Metodoloski Zvezky, Advances in Methodology and Statistics, 1, 225-234. 


Chapters in peer-reviewed books

1. Bertarelli, G., Schirripa Spagnolo, F., Salvati, N. & Pratesi, M. (2021). Small area estimation of agricultural data. In Spatial Econometric Methods in Agricultural Economics Using R. Edited by Postiglione, P., Benedetti, R. & Piersimoni, F., CRC PRESS, Taylor & Francis Inc., pp. 202-234 (ISBN:978-1-498-76681-4). 


2. Pratesi, M. & Salvati, N. (2016). Introduction on measuring poverty at local level using SAE methods (Chapter 1). In Analysis of poverty data by small area estimation. Edited by Pratesi M., eds. Wiley, pp. 1-15 (ISBN: 978-1-118-81501-4). 


3. Chandra, H., Salvati, N. & Chambers, R. (2016). Model Based Direct Estimation of a Small Area Distribution Function (Chapter 14). In Analysis of poverty data by small area estimation. Edited by Pratesi M., eds. Wiley, pp. 263-276 (ISBN: 978-1-118-81501-4). 


4. Salvati, N., Giusti, C. & Pratesi, M. (2014). The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level. In Poverty and Social Exclusion. New Methods and Analysis. Edited by Betti G. & Lemmi A., eds. Routledge, Taylor and Francis Group, pp. 261-282 (ISBN: 978-0-415-63634-6). 


5. Bottai, M. & Salvati, N. (2012). Migrations, mobilité journalière et enracinement au cours du cycle de vie des ménages. In Les systèmes d’information en démographie et en sciences sociales. Edited by Schounmaker B. & Tabutin D., pp. 259-281, eds. Presses universitaires de Louvain, Louvain (ISBN: 978-2-87558-075-7). 


6. Bottai, M. & Salvati, N. (2010). Enracinement, migrations, choix résidentiels en Italie. In Elire domicile. La construction sociale des choix résidentiels. Edited by Authier J., Bonvalet C. & Lévy J.P., eds. Presses Universitaires de Lyon, Lione, pp. 97-122 (ISBN: 2-7297-0828-6). 


7. Ballin, F., Betti, G., Lemmi, A., Marzadro, S., Moricano, M., Neri, L. & Salvati, N. (2007). Stima della povertà a livello locale: i casi della regione Toscana e della provincia di Modena e Trento in Povertà e Benessere. Una Geografia delle disuguaglianze in Italia. Edited by Brandolini A. & Saraceno C., eds. Il Mulino, Bologna, pp. 89-122 (ISBN: 978-88-15-12060-1). 


8. Costa, M., DeLeo, M., Lemmi, E. & Salvati, N. (2007). Chi si sposta, come e perché nella Toscana nord-occidentale. In Famiglie, Abitazioni, Insediamenti. Differenze generazionali e territoriali. Edited by Bottai M., Cortesi G. & Lazzeroni M., eds. Plus, Pisa, pp. 130-147 (ISBN: 8884924170). 


9. Pratesi, M., Salvati, N. & Niccolai, A. (2007). L’indagine campionaria: le tecniche di campiona- mento, la rilevazione. In Famiglie, Abitazioni, Insediamenti. Differenze generazionali e territoriali. Edited by Bottai M., Cortesi G. & Lazzeroni M., eds. Plus, Pisa, pp. 53-60 (ISBN: 8884924170). 


10. Betti, G., Lemmi, A., Lewandowski, P., Neri L., Salvati, N. & Zieba, A. (2006). Application of Small Area Estimation to analysis of social exclusion and inclusion indicators at NUTS4 level in Poland. In Social Exclusion and Integration in Poland. Edited by Ministry of Labour and Social 
Policy, pp. 151-191 (ISBN: 978-83-60089-52-1).  

11. Betti, G., Neri, L., Salvati, N. & Verma, V. (2005). Una stima per piccole aree. In Ricchezza e 
Povertà. Condizioni di vita e politiche pubbliche in Toscana. Edited by Baldi P., Lemmi A. & 
Sciclone N., eds. Franco Angeli, Milano, pp. 109-122 (ISBN: 9788846472335). 


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