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a comprehensive exchange of ideas and findings related to high-quality, original research contributions that are unpublished and embody empirical or experimental work in various domains.

The main topics covered by the hereby call for papers are related (but not limited) to:

  • 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

Minitrack Chairs

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