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Daylight time and energy: Evidence from an Australian experiment

Listed author(s):
  • Kellogg, Ryan
  • Wolff, Hendrik

Several countries are considering using daylight saving time (DST) as a tool for energy conservation and reduction of greenhouse gas emissions, and the United States extended DST in 2007 with the goal of reducing electricity consumption. This paper assesses DST's impact on electricity demand by examining a quasi-experiment in which parts of Australia extended DST in 2000 to facilitate the Sydney Olympics. Using detailed panel data and a difference-in-difference-in-difference framework, we show that the extension did not reduce overall electricity consumption, but did cause a substantial intraday shift in demand consistent with activity patterns that are tied to the clock rather than sunrise and sunset.

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File URL: http://www.sciencedirect.com/science/article/pii/S0095-0696(08)00066-1
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Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 56 (2008)
Issue (Month): 3 (November)
Pages: 207-220

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Handle: RePEc:eee:jeeman:v:56:y:2008:i:3:p:207-220
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622870

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  1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
  2. Bushnell, James & Mansur, Erin T., 2005. "Consumption Under Noisy Price Signals: A Study of Electricity Retail Rate Deregulation in San Diego," Staff General Research Papers Archive 13142, Iowa State University, Department of Economics.
  3. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
  4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  5. Stephen P. Holland & Erin T. Mansur, 2008. "Is Real-Time Pricing Green? The Environmental Impacts of Electricity Demand Variance," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 550-561, August.
  6. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
  7. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
  8. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
  9. Daniel S. Hamermesh & Caitlin Knowles Myers & Mark L. Pocock, 2006. "Time Zones As Cues For Coordination: Latitude, Longitude, And Letterman," Middlebury College Working Paper Series 0609, Middlebury College, Department of Economics.
  10. James B. Bushnell & Erin T. Mansur, 2005. "CONSUMPTION UNDER NOISY PRICE SIGNALS: A STUDY OF ELECTRICITY RETAIL RATE DEREGULATION IN SAN DIEGO -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 493-513, December.
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