Machine Learning about Treatment Effect Heterogeneity: The Case of Household Energy Use
<jats:p> We use causal forests to evaluate the heterogeneous treatment effects (TEs) of repeated behavioral nudges toward household energy conservation. The average response to treatment is a monthly electricity reduction of 9 kilowatt-hours (kWh), but the full distribution of responses ranges...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American Economic Association,
2022-08-03T16:12:35Z.
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| Subjects: | |
| Online Access: | Get fulltext |