Journal of Statistics and Economics (JSE)

ISSN (Print): 3005-5733
ISSN (Online):
APC: ¥: 2500 CNY
Databases: ✥CNKI,
Publishing Time: Acceptance 3 Months

Journal of Statistics and Economics (JSE) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.


Aims & Scope

Journal of Statistics and Economics (JSE) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.

Aims

  • To offer a platform for publishing empirical research in statistics and economics.
  • To bridge the gap between research and practice by publishing original, industry-relevant studies.
  • To solicit high-quality, unpublished theoretical and experimental papers in the field.
  • To promote academic exchange and the practical application of research findings.

Scope

The journal focuses on the intersection of statistical science and economic analysis, emphasizing quantitative research, empirical validation, and industry-oriented applications. Its scope includes but is not limited to:

Core Research Areas

  • Statistical Methodology: Advanced statistical inference, regression analysis, time series analysis, survival analysis, multivariate analysis, and high-dimensional data statistics.
  • Economic Data Analysis: Empirical research on macroeconomic indicators, microeconomic behavior, panel data analysis, and spatial econometrics.
  • Applied Economics: Statistical modeling for financial markets, labor economics, public policy evaluation, industrial economics, and regional economic development.
  • Data Computational Statistics: Machine learning applications in economic forecasting, big data processing, statistical computing, and experimental design.


Manuscript Types

  • Empirical studies with robust statistical methods and real-world economic relevance.
  • Theoretical papers advancing statistical methodology for economic applications.
  • Experimental and simulation-based research validating statistical techniques in economic contexts.
  • Review articles synthesizing recent advances in statistics and economics.


JSE undergo rigorous peer review to ensure academic rigor, empirical validity, and practical relevance, serving as a key platform for advancing quantitative research and its impact on economic practice.