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Nudging Energy Efficiency Behavior: The Role of Information Labels

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  • Richard G. Newell
  • Juha V. Siikamäki

Abstract

We evaluate the effectiveness of energy efficiency labeling in guiding household decisions. Using a carefully designed choice experiment with alternative labels, we disentangle the relative importance of different types of information and intertemporal behavior (i.e., discounting) in guiding energy efficiency behavior. We find that simple information on the economic value of saving energy was the most important element guiding more cost-efficient investments in energy efficiency, with information on physical energy use and carbon emissions having additional but lesser importance. The degree to which the current EnergyGuide label guided cost-efficient decisions depends importantly on the discount rate assumed. Using individual discount rates separately elicited in our study, we find that the current EnergyGuide label came very close to guiding cost-efficient decisions, on average. However, using a uniform five percent discount rate--which was much lower than the average elicited rate--the EnergyGuide label led to choices that result in a one-third undervaluation of energy efficiency. We find that labels that also endorsed a model (with Energy Star) or gave a suggestive grade to a model (EU-style label), encouraged substantially higher energy efficiency. Our results reinforce the centrality of views on intertemporal choice and discounting, both in terms of understanding individual behavior and in guiding policy.

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  • Richard G. Newell & Juha V. Siikamäki, 2013. "Nudging Energy Efficiency Behavior: The Role of Information Labels," NBER Working Papers 19224, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19224
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    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    2. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    3. Michelsen, Carl Christian & Madlener, Reinhard, 2012. "Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany," Energy Economics, Elsevier, vol. 34(5), pages 1271-1283.
    4. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    5. Lucas W. Davis, 2011. "Evaluating the Slow Adoption of Energy Efficient Investments: Are Renters Less Likely to Have Energy Efficient Appliances?," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 301-316, National Bureau of Economic Research, Inc.
    6. Farsi, Mehdi, 2010. "Risk aversion and willingness to pay for energy efficient systems in rental apartments," Energy Policy, Elsevier, vol. 38(6), pages 3078-3088, June.
    7. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    8. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    9. Matthew Rabin & Georg Weizsacker, 2009. "Narrow Bracketing and Dominated Choices," American Economic Review, American Economic Association, vol. 99(4), pages 1508-1543, September.
    10. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    11. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    12. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    13. Turrentine, Thomas S. & Kurani, Kenneth S., 2007. "Car buyers and fuel economy?," Energy Policy, Elsevier, vol. 35(2), pages 1213-1223, February.
    14. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    16. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    17. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy paradox and the diffusion of conservation technology," Resource and Energy Economics, Elsevier, vol. 16(2), pages 91-122, May.
    18. Richard T. Carson & Nicholas E. Flores & Kerry M. Martin & Jennifer L. Wright, 1996. "Contingent Valuation and Revealed Preference Methodologies: Comparing the Estimates for Quasi-Public Goods," Land Economics, University of Wisconsin Press, vol. 72(1), pages 80-99.
    19. Wahlund, Richard & Gunnarsson, Jonas, 1996. "Mental discounting and financial strategies," Journal of Economic Psychology, Elsevier, vol. 17(6), pages 709-730, December.
    20. Loewenstein, George, 1987. "Anticipation and the Valuation of Delayed Consumption," Economic Journal, Royal Economic Society, vol. 97(387), pages 666-684, September.
    21. Toshi H. Arimura, Shanjun Li, Richard G. Newell, and Karen Palmer, 2012. "Cost-Effectiveness of Electricity Energy Efficiency Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    22. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 107-127, December.
    23. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    24. Cairns, John & Van der Pol, Marjon, 1997. "Constant and decreasing timing aversion for saving lives," Social Science & Medicine, Elsevier, vol. 45(11), pages 1653-1659, December.
    25. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    26. Henry Ruderman & Mark D. Levine & James E. McMahon, 1987. "The Behavior of the Market for Energy Efficiency in Residential Appliances Including Heating and Cooling Equipment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 101-124.
    27. Anderson, Soren T. & Newell, Richard G., 2004. "Information programs for technology adoption: the case of energy-efficiency audits," Resource and Energy Economics, Elsevier, vol. 26(1), pages 27-50, March.
    28. Stephen J. Decanio & William E. Watkins, 1998. "Investment In Energy Efficiency: Do The Characteristics Of Firms Matter?," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 95-107, February.
    29. Christina M. Fong & Erzo F. P. Luttmer, 2009. "What Determines Giving to Hurricane Katrina Victims? Experimental Evidence on Racial Group Loyalty," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 64-87, April.
    30. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    31. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    32. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    33. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    34. Louis Anthony Cox Jr. & Weihsueh A. Chiu & David M. Hassenzahl & Daniel M. Kammen, 2000. "Response," Risk Analysis, John Wiley & Sons, vol. 20(3), pages 295-296, June.
    35. Wasi, Nada & Carson, Richard T., 2013. "The influence of rebate programs on the demand for water heaters: The case of New South Wales," Energy Economics, Elsevier, vol. 40(C), pages 645-656.
    36. W. Kip Viscusi & Wesley A. Magat & Joel Huber, 1987. "An Investigation of the Rationality of Consumer Valuations of Multiple Health Risks," RAND Journal of Economics, The RAND Corporation, vol. 18(4), pages 465-479, Winter.
    37. Feenberg, Daniel & Skinner, Jonathan, 1994. "The Risk and Duration of Catastrophic Health Care Expenditures," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 633-647, November.
    38. Ronald J. Sutherland, 1991. "Market Barriers to Energy-Efficiency Investments," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 15-34.
    39. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    40. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    41. Zsolt Sándor & Michel Wedel, 2002. "Profile Construction in Experimental Choice Designs for Mixed Logit Models," Marketing Science, INFORMS, vol. 21(4), pages 455-475, February.
    42. Kessels, Roselinde & Jones, Bradley & Goos, Peter & Vandebroek, Martina, 2009. "An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 279-291.
    43. Gillingham, Kenneth & Palmer, Karen, 2013. "Bridging the Energy Efficiency Gap: Insights for Policy from Economic Theory and Empirical Analysis," RFF Working Paper Series dp-13-02, Resources for the Future.
    44. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    45. Metcalf, Gilbert E., 1994. "Economics and rational conservation policy," Energy Policy, Elsevier, vol. 22(10), pages 819-825, October.
    46. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    47. Turrentine, Tom & Kurani, Kenneth S, 2007. "Car buyers and fuel economy?," Institute of Transportation Studies, Working Paper Series qt56x845v4, Institute of Transportation Studies, UC Davis.
    48. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    49. Richard G. Newell, 2010. "The role of markets and policies in delivering innovation for climate change mitigation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(2), pages 253-269, Summer.
    50. Anna Alberini, Silvia Banfi, and Celine Ramseier, 2013. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    51. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    52. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    53. Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
    54. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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