Econometric Theory
Published by Cambridge University Press
ISSN : 0266-4666 eISSN : 1469-4360
Abbreviation : Économ. Theory
Aims & Scope
Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics.
It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET.
In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics.
Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1 |
2024 | 1.00 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 2.674 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 83 |
Journal Rank
Year | Value |
---|---|
2024 | 870 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 191 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Economics, Econometrics and Finance and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
Testing Identifiability and Specification in Instrumental Variable Models
Citation: 1059
Authors: John G., Stephen G.
-
UNEQUALLY SPACED PANEL DATA REGRESSIONS WITH AR(1) DISTURBANCES
Citation: 659
Authors: Badi H., Ping X.