The Mini-Track on Statistical Methods and Data Science in Applied Economics aims to convene a diverse group of academic scientists, researchers, and research scholars for the purpose of presenting and discussing the latest innovations, trends, and practical challenges encountered in the realm of quantitative modeling, applied statistics, and data science. This forum is dedicated to fostering a comprehensive exchange of ideas and findings related to high-quality, original research contributions that are unpublished and embody empirical or experimental work in various domains.
Applied Statistics in Social Science
Data Collection and Applications
Data Mining
Data Science
Econometrics (Macro and Micro Econometrics)
Mathematical Statistics
Measurement and Network Analysis
Sampling Techniques and Applications
Spatial Statistics and Econometrics
Statistical Analysis of Internal and International Migration
Statistical Applications in International Comparisons
Statistical Modelling and Simulation
Statistical Software (R, SAS, Python)
Statistics in Education
Other Areas of Applied Statistics and Applied Quantitative Analysis
Predictive Analysis and Econometrics
Artificial Intelligence and Machine Learning in Economics
Economic Policy Analysis
Behavioral Economics and Data
Sustainability and Economic Analysis
Quantitative Finance
Digitalization of the Economy
Quantitative Approaches in Entrepreneurship and Innovation, Business Statistics, Business Analytics
