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Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes

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Abstract

While green-labeled buildings have been found to sell at a premium compared to nearby controls with similar observable characteristics, the voluntary nature of the labeling decision implies green-labeled buildings may have different unmeasured characteristics that may account for at least a portion of the premium. Therefore, it is unclear whether green-labeled building premiums are a causal effect of the labels. I use data on repeat sales transactions and detailed hedonic characteristics to test whether green-labeled office buildings were selling at a premium before they were labeled, and combine these results with post-labeling price premium estimates to identify realized cost-benefit ratios for green-labeling policies. The data suggest the causal net benefits of green labels range from $11.50-$19.95 per square foot. The estimated net benefits are smaller than previous estimates that have focused solely on the benefits and ignored the potential biases from nonrandom selection.

Suggested Citation

  • Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-05, Carleton University, Department of Economics.
    • Handle: RePEc:car:carecp:15-05
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    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    3. Piet Eichholtz & Nils Kok & John M. Quigley, 2010. "Doing Well by Doing Good? Green Office Buildings," American Economic Review, American Economic Association, vol. 100(5), pages 2492-2509, December.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Christopher R. Bollinger & Keith R. Ihlanfeldt & David R. Bowes, 1998. "Spatial Variation in Office Rents within the Atlanta Region," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1097-1118, June.
    6. 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.
    7. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    More about this item

    Keywords

    Green Labels; Nonresidential Real Estate; Cost-Benefit Analysis;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

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