14 Extensions of Causal Forest

Introduction to Machine Learning for Economists (Under Construction)

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Welcome
Preface
Basics
Prediction ML
Causal Machine Learning (CML) Methods
Extensions
- 16 Spatial Cross-validation
- 17 Generalized Random Forest
Programming: R
Programming: Python
Appendices
- A Monte Carlo (MC) Simulation
- B Primer on method of moment

Table of contents

14.1 Local linear correction
14.2 Instrumental Forest
14.3 Causal Forest with fixed effects (Panel Data)

14 Extensions of Causal Forest

14.1 Local linear correction

14.2 Instrumental Forest

14.3 Causal Forest with fixed effects (Panel Data)

13 Forest-based CATE Estimators

15 Causal Model Selection

Source Code

# Extensions of Causal Forest {#cf-extension}

## Local linear correction


## Instrumental Forest



## Causal Forest with fixed effects (Panel Data)