machine learning

Feature image for “Big Data,” showing a computational economics pipeline from digital traces to processing, economic variables, and prediction or evidence.

Research Methods in Economics

Big Data Computational Economics: Turning New Data Into Evidence

Big data computational economics uses administrative records, platform traces, text, satellite images, and machine learning to measure behavior and study...

May 30, 2026

Causal machine learning toolkit with cross‑fitting, Neyman orthogonality, honest splitting, and CATE estimation.

Econometrics

Causal Machine Learning for Economists: Double ML and Causal Forests Explained

Causal machine learning combines flexible ML methods with econometric rigour. This guide explains Double ML and Causal Forests for economists...

April 25, 2026

Econometrics

Exploring Machine Learning in Econometrics: Transforming Data Analysis and Forecasting

Machine Learning in Econometrics enhances data analysis by addressing high-dimensional data, modeling nonlinear relationships, and improving predictions, while maintaining causal...

December 28, 2024

Macroeconomic Trends and Analysis

Game Theory and Machine Learning: Economic Strategies in the AI Era

Discover how game theory and machine learning merge to enhance economic strategies, from market predictions to dynamic pricing. Learn how...

October 11, 2024

Macroeconomic Trends and Analysis

Artificial Intelligence in Economic Forecasting and Analysis

Explore how AI is transforming economic forecasting with advanced models, big data, and predictive analytics, offering more accurate market insights...

March 18, 2023