Bayesian networks are multivariate statistical models using a directed acyclic graph to represent statistical dependencies among variables. When dealing with Bayesian Networks it is common to assume that all the variables are discrete. This is not often the case in many real contexts where also...

This paper proposes a novel method for assessing the predictability of energy market time series, by predicting the entropy of the series. According to conventional entropy-based analysis where the entropy is always ex-post estimated), high entropy values characterize unpredictable series, while...

In the present paper we will introduce a coecient of multivariate association i.e. association in a d-variate vector of observations x = (x1; : : : ; xd), where d 2 and where each xj is itself a vector of n observations. We order the observations, divide them in slices and count how many times...

This paper addresses the historical evolution of benefit-based taxation, with particular reference to the contribution of the Italian school of public finance. In particular, it is shown that the positive interpretation of the benefit theory as a criterion of rationality and judgment is well...

The objective of this paper is to explore whether “the efficiency thesis” concerning the relation between welfare states and globalisation is functional for economic growth or, alternatively, whether “the compensation thesis” produces better results in terms of economic growth. The...

The theory of value has been based ever since Adam Smith on the idea that the market prices of commodities, those at which actual trade takes place, gravitate around a central position known as natural prices. This paper seeks to develop a statistical idea of the process in question and suggests...

The aim of this article is to assess of the impact of the European Union’s trade preferences on global trade, focusing on several methodological issues that are relevant to these preferences’ trade creating impact. Using highly disaggregated digit data in a theoretically grounded gravity...

Credit risk, associated to borrowers defaulting on their debts, is an ever growing source of concern for lenders. The presence of correlation among defaults may be described by the t-copula model. However, the typically large number of variables involved calls for a simulation approach. A...

This paper presents a simple Overlapping Generation Model (OLG), aug-mented with Prospect Theory elements in the spirit of al-Nowaihi and Dhami (2007). Themodel tackle several open questions in the analysis of tax evasion and compliance decisions. In particular, the paper presents a new and...