Title: Evaluating Behaviorally Motivated Policy: Experimental Evidence from the Lightbulb Market

Type Dataset Allcott, Hunt, Taubinsky, Dmitry (2018): Evaluating Behaviorally Motivated Policy: Experimental Evidence from the Lightbulb Market. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/TMN4KD

Authors: Allcott, Hunt (New York University) ; Taubinsky, Dmitry (Harvard University) ; Allcott, Hunt (New York University) ; Taubinsky, Dmitry (Harvard University) ;

Links

• Item record in Abdul Latif Jameel Poverty Action Lab Dataverse
• Digital object URL

Summary

Imperfect information and inattention to energy costs are important potential motivations for energy efficiency standards and subsidies. We evaluate these motivations in the lightbulb market using a theoretical model and two-randomized experiments. We derive welfare effects as functions of reduced-form sufficient statistics capturing economic and psychological parameters, which we estimate using a novel within-subject information disclosure experiment. The main results suggest that moderate subsidies for energy-efficient lightbulbs may increase welfare, but informational and attentional biases alone do not justify a ban on incandescent lightbulbs. Our results and techniques generate broader methodological insights into welfare analysis with misoptimizing consumers.

More information

• DOI: 10.7910/DVN/TMN4KD

Subjects

• Social Sciences

Dates

• Publication date: 2018
• Submitted: January 19, 2018
• Updated: July 25, 2018

Rights

• info:eu-repo/semantics/openAccess
• https://creativecommons.org/publicdomain/zero/1.0/ CC0 Waiver

Format

electronic resource

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