We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables …

applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo …This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical … study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a …

-parametric Bayesian IV approach for econometric inference. Our estimation results substantiate the finding of a zero effect: we provide …

of stocks and shares. To be specific, we develop a Bayesian statistical framework to simultaneously explore both sides of …

with a multivariate normal distribution for the unobserved heterogeneity, the Bayesian MCMC estimator yields almost … assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method … apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which …

are represented by a multivariate probit model. The estimation is performed using Markov chain Monte Carlo methods. The …

an intuitive way on the concept of Bayesian updating (where citations gradually reveal information about the initially … measures ought to be used in a REF. …

This paper describes a semiparametric Bayesian method for analyzing duration data. The proposed estimator specifies a …