In this paper we propose three different concentrated partial maximum likelihood estimators (CPMLE) for a new specification of a spatial dynamic panel data probit (SDPDprobit) model, which allows to deal with cross-sectional dependence, time dependence and individual (spatial) or time fixed...

1. The classical linear regression model -- 2. Some important spatial definitions -- 3. Spatial linear regression models -- 4. Further topics in spatial econometrics -- 5. Alternative spatial model specifications in the era of Big Data -- 6. Conclusions: What’s next?.

Chapter 1. Introduction -- Chapter 2. Inequalities and economic inequality -- Chapter 3. Economic inequality -- Chapter 4. Economic growth -- Chapter 5. Inequality and growth -- Chapter 6. Inequality of opportunities -- Chapter 7. Recent trends of growth and inequality in a post-pandemic world...

This article proposes a new method for the estimation of the parameters of a simple linear regression model which is based on the minimization of a quartic loss function. The aim is to extend the traditional methodology, based on the normality assumption, to also take into account higher moments...

This article proposes a new method for the estimation of the parameters of a simple linear regression model which is based on the minimization of a quartic loss function. The aim is to extend the traditional methodology, based on the normality assumption, to also take into account higher moments...

Traditional epidemic models, like the classical SIR, are fitted to real data using deterministic optimization techniques. As a consequence, their performances cannot be properly assessed and, more importantly, the estimates of the critical epidemic parameters (which are of dramatic importance in...