Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs
Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru, Kitagawa, Shosei Sakaguchi, Shusaku Sasaki

TL;DR
This paper introduces a hybrid approach combining paternalistic targeting and autonomous choice to optimize energy saving programs, demonstrating improved social welfare through empirical analysis of a randomized field experiment.
Contribution
It develops a new method that integrates observable characteristics and autonomous decision-making to better target treatments, enhancing policy effectiveness.
Findings
Hybrid approach improves social welfare in energy programs
Method accurately estimates treatment effects for subgroups
Optimal allocation balances paternalistic and autonomous choices
Abstract
Identifying who should be treated is a central question in economics. There are two competing approaches to targeting - paternalistic and autonomous. In the paternalistic approach, policymakers optimally target the policy given observable individual characteristics. In contrast, the autonomous approach acknowledges that individuals may possess key unobservable information on heterogeneous policy impacts, and allows them to self-select into treatment. In this paper, we propose a new approach that mixes paternalistic assignment and autonomous choice. Our approach uses individual characteristics and empirical welfare maximization to identify who should be treated, untreated, and decide whether to be treated themselves. We apply this method to design a targeting policy for an energy saving programs using data collected in a randomized field experiment. We show that optimally mixing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnvironmental Education and Sustainability · Energy and Environment Impacts · Energy Efficiency and Management
