We propose a new procedure to perform Reduced Rank Regression (RRR) in non-Gaussian contexts, based on Multivariate Dispersion Models. Reduced-Rank Multivariate Dispersion Models (RR-MDM) generalise RRR to a very large class of distributions, which include continuous distributions like the...

We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...

We consider the situation in which there are multiple proxies for one unobserved explanatory variable in a linear regression and provide a procedure by which the coefficient of interest can be extracted "post hoc" from a multiple regression in which all the proxies are used simultaneously. This...

A geometrical interpretation of multiple regression is proposed. The method is explained within the context of the tourism industry by developing a model for the management of hotels. The paper first explains the technique in non-mathematical terms and is completed with the mathematical proof of...

There is still little consensus on the effectiveness of business support policies. The empirical evaluation is complicated by the difficulty in achieving reliable identification. We analyse the impact of Law 488/92, the main Italian regional policy. We propose a new approach, named multiple...