The Journal of Business and Economic Statistics publishes research on econometric methods, statistical modeling, and data analysis. Recent articles focus on developing new tests for time series trends, estimating income inequality with privacy concerns, modeling panel stochastic frontiers with latent groups, and analyzing factor models with weak and non-Gaussian data. Other topics include estimating parameters in conditional moment restriction models with missing data, modeling nonlinear dependencies in financial portfolio returns using graphical copulas, and applying these methods to economic data such as GDP growth, house prices, and commercial banking costs.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Economics and EconometricsQ1
Social Sciences (miscellaneous)Q1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
EconomicsSocial Sciences, Mathematical MethodsStatistics & Probability
Scopus Categories
Statistics, Probability and UncertaintySocial Sciences (miscellaneous)Economics and EconometricsStatistics and Probability
Research Topics (OpenAlex)
Monetary Policy and Economic ImpactFinancial Risk and Volatility ModelingMarket Dynamics and VolatilityStatistical Methods and InferenceComplex Systems and Time Series Analysis