The Journal of Business & Economic Statistics (JBES) is a leading peer-reviewed journal that publishes groundbreaking research in statistical methods and their application to business, economics, and related fields. The journal focuses on innovative approaches to solving real-world problems, providing insights for academics, practitioners, and policymakers.
JBES covers a wide range of topics, including econometrics, time series analysis, forecasting, causal inference, machine learning, and high-dimensional data analysis. The journal welcomes submissions that address complex issues in areas such as finance, marketing, management, and public policy. Emphasis is placed on studies that offer methodological advancements and demonstrate practical relevance.
Indexed in databases like Scopus and Web of Science, JBES serves as a valuable resource for researchers and professionals seeking to stay abreast of the latest developments in statistical methodology and its applications. The journal encourages submissions of original research articles, reviews, and software demonstrations. By maintaining high standards of rigor and relevance, JBES plays a crucial role in shaping the future of business and economic statistics.