Bernini Cristina, Emili Silvia, Ferrante Maria, Poverty Adaptation, Multidimensional Well-Being and Regional Disparities in Italy: A Statistical Matching Approach, in: Cities and regions in transition, Milano, FrancoAngeli, 2023, pp. 161 - 180 [Chapter or essay]
Bernini C.; Emili S.; Ferrante M.R., Poverty-happiness nexus: Does the use of regional poverty lines matter?, «PAPERS IN REGIONAL SCIENCE», 2023, 102, pp. 253 - 272 [Scientific article]Open Access
De Nicolò, S.;
Ferrante, M.R.;
Pacei, S., Small area estimation of inequality measures using mixtures of Beta, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2023, N/A, pp. N/A - N/A [Scientific article]
Maria Rosaria Ferrante, Lorenzo Mori, Small area models for skew and kurtotic variables, in: Book of short papers - SIS 2022, Milano, Pearson Italia, 2022, pp. 1595 - 1600 [Chapter or essay]
Alessandro Gallo, Silvia Pacei, Maria Rosaria Ferrante, The Measurement of Economic Security through
Relative Indicators, in: SIS 2022 | Book of Short Papers, 2022, pp. 1940 - 1945 (atti di: 51st Scientific Meeting of the Italian Statistical Society, Università Luigi Vanvitelli, Caserta, 22-24/06/2022) [Contribution to conference proceedings]
De Nicolò, S.;
Ferrante, M.R.;
Pacei, S., Small area estimation of inequality measures via Simplex regression, in: Book of Short Papers SIS 2021, Pearson, 2021, pp. 1051 - 1056 (atti di: SIS 2021, Pisa, June 21-25, 2021) [Contribution to conference proceedings]
Enrico Fabrizi, Maria Rosaria Ferrante, Carlo Trivisano, A functional approach to small area estimation of the relative median poverty gap, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2020, 183, pp. 1273 - 1291 [Scientific article]
Maria R. Ferrante, Marzia Freo, Detecting learning‐by‐exporting effects on firms' productivity distribution by accounting for heterogeneous macrofactors and panel attrition, «WORLD ECONOMY», 2019, 42, pp. 2745 - 2773 [Scientific article]
Maria Ferrante, Silvia Pacei, Small Area Estimation of Entropy Inequality Measures: a Comparison Between Alternative Distribution Models, in: JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association., 2019, pp. 1642 - 1651 (atti di: Joint Statistical Meetings, Denver, Colorado, July 27 – August 1, 2019) [Contribution to conference proceedings]
Maria Rosaria Ferrante, Silvia Pacei, Small Sample Bias Corrections for Entropy Inequality Measures, «BIOSTATISTICS AND BIOMETRICS OPEN ACCESS JOURNAL», 2019, 9, pp. 78 - 80 [Scientific article]
Bernini, C; Emili, S; Ferrante, M., Statistical Matching of HBS and ADL to analyse living conditions, poverty and happiness, in: Smart Statistics for Smart Applications, Pearson, 2019, pp. 71 - 78 (atti di: Smart Statistics for Smart Applications, Milano, 18/06/2019 - 21/06/2019) [Contribution to conference proceedings]
Enrico, Fabrizi; Maria Rosaria Ferrante, ; Carlo, Trivisano, Bayesian small area estimation for skewed business survey variables, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS», 2018, 67, pp. 861 - 879 [Scientific article]Open Access
Pacei, Silvia; Ferrante, Maria Rosaria;, Small area estimation of inequality measures under alternative distribution models, in: Book of Abstract CFE-CMStatistics 2018, 2018, pp. 25 - 26 (atti di: CFE-CMStatistics 2018, 12th International Conference on Computational and Financial Econometrics, 11th International Conference of the ERCIM Working Group on Computational and Methodological Statistics, Pisa, Italy, 14-16 December 2018) [Abstract]
Maria Rosaria, Ferrante; Silvia, Pacei, Small domain estimation of business statistics by using multivariate skew normal models, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2017, 180, pp. 1057 - 1088 [Scientific article]Open Access
Fabrizi, Enrico; Maria Rosaria Ferrante; Trivisano, Carlo, Bayesian Beta regression models for the estimation of poverty and inequality parameters in small areas., in: Analysis of poverty data by small area estimation, Chichester, John Wiley & Sons, 2016, pp. 299 - 314 [Chapter or essay]
