MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Tagging and Targeting of Energy Efficiency Subsidies

Author(s)
Allcott, Hunt; Taubinsky, Dmitry; Knittel, Christopher Roland
Thumbnail
DownloadKnittel_Tagging and.pdf (474.3Kb)
PUBLISHER_POLICY

Publisher Policy

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Abstract
A corrective tax or subsidy is "well-targeted" if it primarily affects choices that are more distorted by market failures. Energy efficiency subsidies are designed to correct multiple distortions: externalities, credit constraints, "landlord-tenant" information asymmetries, imperfect information, and inattention. We show that three important energy efficiency subsidies are primarily taken up by consumers who are wealthier, own their own homes, and are more informed about and attentive to energy costs. This suggests that these subsidies are poorly targeted at the market failures they were designed to address. However, we show that "tagging" can lead to large efficiency gains.
Date issued
2015-05
URI
http://hdl.handle.net/1721.1/98885
Department
Sloan School of Management
Journal
American Economic Review
Publisher
American Economic Association
Citation
Allcott, Hunt, Christopher Knittel, and Dmitry Taubinsky. “Tagging and Targeting of Energy Efficiency Subsidies.” American Economic Review 105, no. 5 (May 2015): 187–91. © 2015 American Economic Association
Version: Final published version
ISSN
0002-8282
1944-7981

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.