Journal of Econometrics

Journal of Econometrics - ISSN 0304-4076
Source Normalized Impact per Paper (SNIP): 1.863 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 3.102 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 1.633 (2016) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 2.407 (2016) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 202-207
Issues: 12 issues
ISSN: 03044076

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Description

The Journal of Econometrics is designed to serve as an outlet for important new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with estimation and other methodological aspects of the application of statistical inference to economic data, as well as papers dealing with the application of econometric techniques to substantive areas of economics. Econometric research in the traditional divisions of the discipline or in the newly developing areas of social experimentation are decidedly within the range of the Journal's interests.

Annals of Econometrics form a supplement to the Journal of Econometrics. Each issue of the Annals includes a collection of papers on an important topic in econometrics, selected by the of the issue. Leading researchers have contributed papers on topics such as welfare econometrics of peak-load pricing for electricity, censored or truncated regression models, non-nested models, model specification, econometric analysis of duration data, pre-test and Stein-rule estimators, Bayesian analysis of econometric models etc. The in-depth treatment of specific topics in issues of the Annals will be of value to researchers, teachers and students in applied and theoretical econometrics. All Annals are also available separately.
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