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Objective The Journal of Econometric Methods welcomes submissions in theoretical and applied econometrics of direct relevance to empirical economics research. The journal aims to bridge the widening gap between econometric research and empirical practice. We aim to publish papers from top scholars in econometrics, but submissions must (i) consider a topic of broad interest to practitioners and (ii) be written in a style that is targeted at practitioners. Subject to these requirements, the journal will consider submissions in all areas of econometrics. We do not consider submissions that are application-specific. While econometric methodology should be thoroughly illustrated with empirical data, such methodology should be useful above and beyond the specific application considered.
Estimation and testing
Cross-sectional, panel-data, and time-series methodologies
Article formats Research article submissions should make a significant contribution to the existing econometrics literature. This contribution can consist of new methodology, new theoretical results, new computational methods, comparison of existing methodologies, etc. Upon acceptance of their paper, authors are required to provide any data and computer programs so that readers can replicate results and utilize the econometric methods for their own research. Papers will not be published until these materials have been made available.
In addition to traditional research articles, the journal will also publish contributions to its “Practitioners’ corner” and “Teaching corner” sections:
Practitioners’ corner: This section publish “how-to” and survey papers for practitioners. Papers in the section can include: detailed treatments of specific econometric methods not covered extensively (or well) elsewhere, surveys that bring empirical researchers up-to-date on quickly developing research areas, etc.
Teaching corner: This section publish papers that are directly useful for econometrics instructors at the undergraduate or graduate level. Papers in the section can provide datasets (with completely worked-through analysis) that help instructors to illustrate specific models and/or methodologies. Papers in this section can also provide other tools for instructors, including novel suggestions for presenting certain material, simulation designs, etc.