activity
20172020
most citedDouble-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys

1 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

econ.GN2020

The polarizing impact of numeracy, economic literacy, and science literacy on attitudes toward immigration

Lucia Savadori, Giuseppe Espa, Maria Michela Dickson

Political orientation polarizes the attitudes of more educated individuals on controversial issues. A highly controversial issue in Europe is immigration. We found the same polariz…

q-fin.GN20201 cited

Green production as a factor of survival for innovative startups. Evidence from Italy

Riccardo Gianluigi Serio, Maria Michela Dickson, Diego Giuliani +1

Many studies have analyzed empirically the determinants of survival for innovative startup companies using data about the characteristics of entrepreneurs and management or focusin…

stat.AP2020

Modelling and predicting the spatio-temporal spread of Coronavirus disease 2019 (COVID-19) in Italy

Diego Giuliani, Maria Michela Dickson, Giuseppe Espa +1

Official freely available data about the number of infected at the finest possible level of spatial areal aggregation (Italian provinces) are used to model the spatio-temporal dist…

stat.ME2019

Reduced-bias estimation of spatial econometric models with incompletely geocoded data

Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa +2

The application of state-of-the-art spatial econometric models requires that the information about the spatial coordinates of statistical units is completely accurate, which is usu…

math.ST20191 cited

Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys

Maria Michela Dickson, Giuseppe Espa, Lorenzo Fattorini

Under-coverage and nonresponse problems are jointly present in most socio-economic surveys. The purpose of this paper is to propose a completely design-based estimation strategy th…

stat.ME2018

A goodness of fit test for the Pareto distribution

Emanuele Taufer, Flavio Santi, Giuseppe Espa +1

The Zenga (1984) inequality curve is constant in p for Type I Pareto distributions. This characterizing behavior will be exploited to obtain graphical and analytical tools for tail…