The methodology of econometrics is concerned with rules governing the building of statistical models in economics. These two volumes draw together 62 previously published studies in economics and statistics. The volumes are divided into 12 sections covering controversial topics ranging from the...

This article provides Bayesian interpretations for White's <italic>heteroskedastic consistent</italic> (HC) covariance estimator, and various modifications of it, in linear regression models. An informed Bayesian bootstrap provides a useful framework.

There have been numerous applications of partial observability bivariate probit models. These models identify determinants of individual discrete outcomes when all that is observed are collective outcomes and individual characteristics. Numerical difficulties with their likelihood functions are...

This paper analyzes the daily incidence of violence during the Second Intifada. We compare several alternative statistical models with different dynamic and structural stability characteristics while keeping modelling complexity to a minimum by only maintaining the assumption that the process...

The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses -- giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from...