HETEROGENEOUS TREATMENT EFFECTS OF NUDGE AND REBATE: CAUSAL MACHINE LEARNING IN A FIELD EXPERIMENT ON ELECTRICITY CONSERVATION

DOI10.1111/IERE.12589zbMath1530.91301OpenAlexW3088328595MaRDI QIDQ6088651

Hideki Shimada, Unnamed Author, Unnamed Author, Unnamed Author

Publication date: 16 November 2023

Published in: International Economic Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/iere.12589

Mathematics Subject Classification ID

Consumer behavior, demand theory (91B42) Experimental work for problems pertaining to game theory, economics, and finance (91-05)

Cites Work

• Generalized random forests
• A random forest guided tour
• Recursive partitioning for heterogeneous causal effects
• Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
• Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program
• Random forests

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