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Introduction
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Classroom Contents
Debiasing Random Forests for Treatment Effect Estimation
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- 1 Introduction
- 2 Treatment Effect Estimation
- 3 Resource Allocation Tradeoffs in Election Campaign Planning
- 4 Conditional Average Treatment Effect (CATE)
- 5 Estimators for the CATE
- 6 Random Forests for Causal Estimation
- 7 Bias in Random Forests
- 8 Empirical CATE Coverage Simulations
- 9 Data Inspired CATE Coverage Simulations
- 10 Resource Allocation Tradeoffs in GOTV Experiments
- 11 Theoretical Results
- 12 Summary
- 13 Software
