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How Consumers Respond to Environmental Certification and the Value of Energy Information

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  • Sébastien Houde

Abstract

The ENERGY STAR certification is a voluntary labeling that favors the adoption of energy efficient products. In the US appliance market, the label is a coarse summary of otherwise readily accessible information. Using micro-data of the US refrigerator market, I develop a structural demand model and find that consumers respond to certification in different ways. Some consumers have a large willingness to pay for the label, well beyond the energy savings associated with certified products; others appear to pay attention to electricity costs, but not to the certification, and still others appear to be insensitive to both electricity costs and ENERGY STAR. The findings suggest that the certification acts as a substitute for more accurate, but complex energy information. Using the structural model, I find that the opportunity cost of having imperfectly informed consumers in the refrigerator market ranges from $12 to $17 per refrigerator sold.

Suggested Citation

  • Sébastien Houde, 2014. "How Consumers Respond to Environmental Certification and the Value of Energy Information," NBER Working Papers 20019, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20019
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    References listed on IDEAS

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    1. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    2. Ward, David O. & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T. & Russell, Clifford S., 2011. "Factors influencing willingness-to-pay for the ENERGY STAR® label," Energy Policy, Elsevier, vol. 39(3), pages 1450-1458, March.
    3. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    4. Nicholas Z. Muller & Robert Mendelsohn, 2012. "Efficient Pollution Regulation: Getting the Prices Right: Corrigendum (Mortality Rate Update)," American Economic Review, American Economic Association, vol. 102(1), pages 613-616, February.
    5. David Dranove & Ginger Zhe Jin, 2010. "Quality Disclosure and Certification: Theory and Practice," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 935-963, December.
    6. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
    7. Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
    8. Bento, Antonio M. & Li, Shanjun & Roth, Kevin, 2012. "Is there an energy paradox in fuel economy? A note on the role of consumer heterogeneity and sorting bias," Economics Letters, Elsevier, vol. 115(1), pages 44-48.
    9. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    10. Jason Abaluck & Jonathan Gruber, 2011. "Choice Inconsistencies among the Elderly: Evidence from Plan Choice in the Medicare Part D Program," American Economic Review, American Economic Association, vol. 101(4), pages 1180-1210, June.
    11. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    12. McWhinney, Marla & Fanara, Andrew & Clark, Robin & Hershberg, Craig & Schmeltz, Rachel & Roberson, Judy, 2005. "ENERGY STAR product specification development framework: using data and analysis to make program decisions," Energy Policy, Elsevier, vol. 33(12), pages 1613-1625, August.
    13. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    14. Soren T. Anderson & Ryan Kellogg & James M. Sallee & Richard T. Curtin, 2011. "Forecasting Gasoline Prices Using Consumer Surveys," American Economic Review, American Economic Association, vol. 101(3), pages 110-114, May.
    15. Thomas Klier & Joshua Linn, 2010. "The Price of Gasoline and New Vehicle Fuel Economy: Evidence from Monthly Sales Data," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 134-153, August.
    16. Meier, Alan K. & Whittier, Jack, 1983. "Consumer discount rates implied by purchases of energy-efficient refrigerators," Energy, Elsevier, vol. 8(12), pages 957-962.
    17. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    18. Benjamin R. Handel & Jonathan T. Kolstad, 2013. "Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare," NBER Working Papers 19373, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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