Special Issue on Econometrics, Statistics and Quantitative Methods

Econometrics, Statistics and Quantitative Methods studies the application of mathematical and statistical techniques to analyze data and solve problems in economics and other fields. It focuses on model building, hypothesis testing and data interpretation to understand relationships, forecast trends and support decision-making. The field integrates theory and computation to provide rigorous, evidence-based insights for research, policy analysis and practical applications.

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

• Macroeconometrics
• Microeconometrics
• Econometric theory
• Financial econometrics
• Applied econometrics
• Causal inference and impact evaluation
• Econometrics and statistical methods
• Statistical inference and estimation
• Nonparametric and semiparametric methods
• Computational statistics and data methods
• Regression and multivariate analysis
• Time series analysis
• Classical and Bayesian statistics
• General equilibrium analysis
• Empirical analysis
• Stochastic models
• Linear and nonlinear models
• Quantile regression
• Panel data and longitudinal analysis
• Cross-sectional econometrics
• Spatial econometrics
• Survey methods and sampling techniques
• Quantitative finance and risk management
• Machine learning for economics and finance
• Forecasting and predictive modeling

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 – Econometrics, Statistics and Quantitative Methods” 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