This paper provides a unified simulation-based Bayesian and non-Bayesian analysis of correlated binary data using the multivariate probit model. The posterior distribution is simulated by Markov chain Monte Carlo methods, and maximum likelihood estimates are obtained by a Monte Carlo version of...

This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov Chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the...

This paper is concerned with statistical inference in multinomial probit, multinomial t and multinomial logit models. New Markov chain Monte Carlo (MCMC) algorithms for fitting these models are introduced and compared with existing MCMC methods. The question of parameter identification in the...

This book is primarily a critical survey of small-case, theoretical macro models that attempts to analyze the cyclical behavior of modern economies. The authors emphasize the role of the labor market, which is treated very differently in such models. They show how the development of business...

This book is based on three themes: the business cycle, re- gime switching and wages. Each term is linked to the other in a simple and direct way. The business cycle is the main topic, regime switching is a device to generate cycles, and wages is the point of view from which the analysis is...