The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal's interests. The Annals of Econometrics is a supplement to the Journal of Econometrics. Each issue of the Annals is a collection of refereed papers on a topic proposed by the guest editor of the issue.