Causal Machine Learning (Online)

Description:

This seminar provides an in-depth exploration of causal machine learning, equipping participants with sophisticated techniques to differentiate causation from correlation using modern machine learning tools integrated with robust econometric methods. By introducing a number of well defined points of departure, the seminar is designed to provide exposure to advanced methods for causal inference without requiring significant prerequisites. Attendees will gain practical skills and theoretical knowledge to apply these approaches effectively in their research across various domains.

 

Cost:

USD535-USD256

Website and registration:

Register for this course

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis, causal machine learning, R, Stata, Phyton

Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis

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