Modern Data Analysis for Economics: Regression for Causal Inference
Regression for Causal Inference
2019 Fall @ Xiamen University
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Modern Data Analysis for Economics
This course offers a unified introduction to the principles and methods of statistical modeling and causal inference – two areas essential to data analysis in economics. The first part of this course introduces learning theory and a number of modern machine learning methods used for pattern recognition and predictive modeling. The second part introduces the theory of causal inference and surveys frequently used econometric techniques for causal effect learning and program evaluation. Finally, we discuss structural estimation and offer a unified perspective on the use of reduced-form and structural econometric methods.
Course website: https://jiamingmao.github.io/data-ana...