Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains E Fabrizi, MR Ferrante, S Pacei, C Trivisano Computational Statistics & Data Analysis 55 (4), 1736-1747, 2011 | 31 | 2011 |
How do firms combine different internationalisation modes? A multivariate probit approach P Calia, MR Ferrante Review of World Economics 149, 663-696, 2013 | 23 | 2013 |
Small area estimation of average household income based on unit level models for panel data E Fabrizi, MR Ferrante, S Pacei Survey Methodology 33 (2), 187-198, 2007 | 23 | 2007 |
Bayesian small area estimation for skewed business survey variables E Fabrizi, MR Ferrante, C Trivisano Journal of the Royal Statistical Society Series C: Applied Statistics 67 (4 …, 2018 | 21 | 2018 |
Bayesian beta regression models for the estimation of poverty and inequality parameters in small areas E Fabrizi, MR Ferrante, C Trivisano Analysis of poverty data by small area estimation, 299-314, 2016 | 20 | 2016 |
Small area estimation of the number of firms' recruits by using multivariate models for count data M Ferrante, C Trivisano Survey Methodology 36, 171-180, 2010 | 19 | 2010 |
Spatial agglomeration, production technology and the choice to make and/or buy: empirical evidence from the Emilia Romagna machine tool industry R Antonietti, MR Ferrante, R Leoncini Regional Studies 48 (2), 284-300, 2014 | 18 | 2014 |
A Micro‐Econometric Analysis of the Antipoverty Effect of Social Cash Transfers in I taly E Fabrizi, MR Ferrante, S Pacei Review of Income and Wealth 60 (2), 323-348, 2014 | 14 | 2014 |
Measuring sub‐national income poverty by using a small area multivariate approach E Fabrizi, MR Ferrante, S Pacei Review of Income and Wealth 54 (4), 597-615, 2008 | 14 | 2008 |
Estimation of poverty indicators at sub-national level using multivariate small area models E Fabrizi, M Ferrante, S Pacei Statistics in transition 7 (3), 587-608, 2005 | 14 | 2005 |
The total factor productivity gap between internationalised and domestic firms: net premium or heterogeneity effect? MR Ferrante, M Freo The World Economy 35 (9), 1186-1214, 2012 | 13 | 2012 |
Small domain estimation of business statistics by using multivariate skew normal models MR Ferrante, S Pacei Journal of the Royal Statistical Society Series A: Statistics in Society 180 …, 2017 | 11 | 2017 |
Local spillovers, production technology and the choice to make and/or buy: empirical evidence from Emilia Romagna mechanical industry R Antonietti, MR Ferrante, R Leoncini Production Technology and the Choice to Make and/or Buy: Empirical Evidence …, 2009 | 11 | 2009 |
Local market size, social capital and outsourcing: Evidence from Emilia Romagna R Antonietti, MR Ferrante, R Leoncini Small Business Economics 47, 243-260, 2016 | 10 | 2016 |
A functional approach to small area estimation of the relative median poverty gap E Fabrizi, MR Ferrante, C Trivisano Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 8 | 2020 |
Small area estimation for longitudinal surveys MR Ferrante, S Pacei Statistical Methods and Applications 13, 327-340, 2004 | 8 | 2004 |
Poverty‐happiness nexus: Does the use of regional poverty lines matter? C Bernini, S Emili, MR Ferrante Papers in Regional Science 102 (2), 253-272, 2023 | 7 | 2023 |
A multivariate framework to explore firms' internationalization patterns: the role of individual heterogeneity PP Calia, M Ferrante Statistica 68 (1), 31-55, 2008 | 6 | 2008 |
Detecting learning‐by‐exporting effects on firms' productivity distribution by accounting for heterogeneous macrofactors and panel attrition MR Ferrante, M Freo The World Economy 42 (9), 2745-2773, 2019 | 5 | 2019 |
Heterogeneity and number of export destinations of Italian firms: A Hurdle Negative binomial regression approach MR Ferrante, M Novelli Global Economy Journal 13 (3), 391-416, 2013 | 4 | 2013 |