Data and Code for: Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice

Principal Investigator(s): View help for Principal Investigator(s) Koichiro Ito; Takanori Ida; Makoto Tanaka

Name	File Type	Size	Last Modified
data			07/20/2023 04:48:PM
draft			07/20/2023 04:48:PM
results			07/20/2023 04:48:PM
README.pdf	application/pdf	73.3 KB	07/20/2023 12:48:PM
a_main_01_matlab.m	text/x-objcsrc	1.7 KB	07/20/2023 12:48:PM
a_main_02_stata.do	text/plain	688 bytes	07/20/2023 12:48:PM
cnbinterpolator.m	text/x-objcsrc	425 bytes	07/20/2023 12:48:PM
drr.m	text/x-objcsrc	370 bytes	07/20/2023 12:48:PM
figure_06_07_08_09.do	text/plain	2.5 KB	07/20/2023 12:48:PM
figure_10.do	text/plain	1.3 KB	07/20/2023 12:48:PM

Project Description

Summary:

We study a problem in which policymakers need to screen self-selected individuals by unobserved heterogeneity in social welfare gains from a policy intervention. In our framework, the marginal treatment effects and marginal treatment responses arise as key statistics to characterize social welfare. We apply this framework to a randomized field experiment on electricity plan choice. Consumers were offered welfare-improving dynamic pricing with randomly assigned take-up incentives. We find that price-elastic consumers—who generate larger welfare gains—are more likely to self-select. Our counterfactual simulations quantify the optimal take-up incentives that exploit observed and unobserved heterogeneity in selection and welfare gains.

Scope of Project

Subject Terms: Randomized Control Trial

JEL Classification:
L94 Electric Utilities
Q41 Energy: Demand and Supply; Prices

Data Type(s): program source code

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Published Versions

V1 [2023-10-20]

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