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, experimental design, and machine learning methods are decidedly within the range of the Journal's interests.
ISSN:0304-4076
|EISSN:1872-6895
|Publication Frequency:12 times a year
|Last updated on 01 Mar 2026 / Current volume: 逦鋺 / Current issue: