Special Issue on Economics and Data Analytics

Economics and Data Analytics is an interdisciplinary academic field that integrates economic theory with advanced data analysis techniques to understand and predict economic behavior and outcomes. It applies statistical modeling, econometrics, machine learning, and big data methods to analyze markets, policy impacts, consumer behavior and economic trends. The field supports evidence-based decision-making in business, government and research by transforming complex economic data into actionable insights.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on Economics and Data Analytics. Potential topics include, but are not limited to

• Econometrics and statistical modeling
• Behavioral data analytics
• Macroeconomic modeling
• Microeconomic data analysis
• Financial econometrics & fintech
• Predictive analytics in economics
• Computational economics and simulation modeling
• Machine learning in economics
• Big data analytics in economics
• Digital economy and platform data analysis
• Agent-based computational economics
• Causal inference and policy evaluation
• Economic policy analysis and data science
• Market analytics
• Pricing strategies & models
• Descriptive analytics and decision-making
• Customer behavior and customer analytics
• Labor and demographic data analysis
• Urban and regional economic analytics
• Public economics and policy analysis
• Empirical industrial organization
• Health economics and data science
• Environmental economics and sustainability analytics
• Productivity and efficiency analysis

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue – Economics and Data Analytics” should be chosen during your submission.

According to the following timetable:

For publishing inquiries, please feel free to contact the Editorial Assistant at [email protected]

TEL Editorial Office