Much of economists' statistical work centers on testing hypotheses in which parameter values are partitioned between a null hypothesis and an alternative hypothesis in order to distinguish two views about the world. Our traditional procedures are based on the probabilities of a test statistic...

In this work, three distributions are proposed (Pareto, Lognormal and Dagum) to model the income of Mexican population, by using the Bayesian approach. It was found that the Dagum model was the one that best describes the data. The posterior distributions of the quantities of interest were...

Este es material de curso para un curso introductorio a la Probabilidad y la Estadistica en Ingenieria y Administracion. Es parte de algunas notas de clases de mis cursos en Español sobre esos temas. Cuando se toman decisiones y existen eventos futuros y desconocidos la unica razon por la cual...

In this note, we provide the application of HCCME-type refinements to nonlinear GMM models with Bayesian interpretations.

In the literature, some researchers found that the high persistence of the volatility can be caused by Markov regime switching. This concern can be reflected as a unit root problem on the basis of Markov switching models. In this paper, our main purpose is to provide a Bayesian unit root testing...

In many different fields such as hydrology, telecommunications, physics of condensed matter and finance, the gaussian model results unsatisfactory and reveals difficulties in fitting data with skewness, heavy tails and multimodality. The use of stable distributions allows for modelling skewness...

This is a course material for an introductory course in Probability and Statistics for Engineering and Management. It is part of some course notes for my courses in Spanish on that subject. The draft of the book is Apuntes de Probabilidad y Estadiacute;stica para Ingenieriacute;a y...

In this paper we consider bayesian semiparametric regression within the generalized linear model framework. Specifically, we study a class of autoregressive time series where the time trend is incorporated in a nonparametrically way. Estimation and inference where performed through Markov Chain...

In this paper we propose a new small area estimation methodology aimed at the estimation of Value Added, Labor Cost and related competitiveness indicators for subsets of the population of Italian small and medium sized manufacturing firms classified according to geographical region, industrial...

We develop a reliable Bayesian inference for the RIF-regression model of Firpo, Fortin and Lemieux (Econometrica, 2009) in which we first estimate the log wage distribution by a mixture of normal densities. This approach is pursued so as to provide better estimates in the upper tail of the wage...