Journal of Business and Economic Statistics
Published by Taylor & Francis
ISSN : 0735-0015 eISSN : 1537-2707
Abbreviation : J. Bus. Econ. Stat.
Aims & Scope
The Journal of Business and Economic Statistics (JBES) publishes a range of articles, primarily applied statistical analyses of microeconomic, macroeconomic, forecasting, business, and finance related topics.
More general papers in statistics, econometrics, computation, simulation, or graphics are also appropriate if they are immediately applicable to the journal"s general topics of interest.
Articles published in JBES contain significant results, high-quality methodological content, excellent exposition, and usually include a substantive empirical application.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.5 |
2024 | 2.90 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 4.171 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 122 |
Journal Rank
Year | Value |
---|---|
2024 | 385 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 1207 |
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 Decision Sciences, Economics, Econometrics and Finance, Mathematics 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.
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Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Citation: 4104
Authors: Eric, Donald W. K.
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A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
Citation: 2994
Authors: James H, Jonathan H, Motohiro
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Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models
Citation: 1951
Authors: Arthur