Confidence intervals for the mean of one sample and the difference in means of two independent samples based on the ordinary-t statistic suffer deficiencies when samples come from skewed distributions. In this article, we evaluate several existing techniques and propose new methods to improve...

This paper suggests that skill accumulation through past work experience, or ``learning-by-doing'' (LBD), can provide an important propagation mechanism in a dynamic stochastic general equilibrium model, as the current labor supply affects future productivity. Our econometric analysis uses a...

Objectives. This paper explores the use of regression models for estimating health status of schizophrenic patients, from a Bayesian perspective. Our aims are: 1- To obtain a set of values of health states of the EQ-5D based on self-assessed health from a sample of schizophrenic patients. 2- To...

In a common ROC study design, several readers are asked to rate diagnostics of the same cases processed under different modalities. We describe a Bayesian hierarchical model that facilitates the analysis of this study design by explicitly modeling the three sources of variation inherent to it....

1- To obtain a set of values of health states of the EQ-5D based on self-related health VAS using linear and non- linear models Bayesian techniques. 2 - To analyse "logical consistency" in different models and to derive a model free from logical inconsistencies. 3 - To analyse and compare...

In recent years a new consensus has emerged in macroeconomics in general and in model building in particular, the so called New Keynesian Paradigm (NKM). This paper applies Bayesian estimation techniques to a time series data set of the euro area and presents estimates of a DSGE model. The...