Switching model, we estimate the demand for mortgage using aggregate monthly data from January 2003 to September 2012. The results show that this variable has been subject to cycles of contraction and expansion since 2003. The boom starts at the end of 2005 is marked by the alternation of two...

We propose an objective Bayesian method for the comparison of all Gaussian directed acyclic graphical models defined on a given set of variables. The method, which is based on the notion of fractional Bayes factor, requires a single default (typically improper) prior on the space of...

Abstract Multivariate regression models and ANOVA are probably the most frequently applied methods of all statistical analyses. We study the case where the predictors are qualitative variables and the response variable is quantitative. In this case, we propose an alternative to the classic...

Abstract We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT) statistical causality, which is a straightforward way of representing and addressing causal questions. DT reframes causal inference as “assisted decision-making” and aims to...

The analysis of technical efficiency (TE) on the small-scale fishery is relevant for several reasons. While this type of fishery is highly common in developing countries like Mexico, there are a very limited number of analyses assessing their efficiency. Indeed, there is no precise information...

Switching model, we estimate the demand for mortgage using aggregate monthly data from January 2003 to September 2012. The results show that this variable has been subject to cycles of contraction and expansion since 2003. The boom starts at the end of 2005 is marked by the alternation of two...

We propose an objective Bayesian method for the comparison of all Gaussian directed acyclic graphical models defined on a given set of variables. The method, which is based on the notion of fractional Bayes factor, requires a single default (typically improper) prior on the space of...

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...