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The rationality of EIA forecasts under symmetric and asymmetric loss

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  • Auffhammer, Maximilian

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Bibliographic Info

Article provided by Elsevier in its journal Resource and Energy Economics.

Volume (Year): 29 (2007)
Issue (Month): 2 (May)
Pages: 102-121

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Handle: RePEc:eee:resene:v:29:y:2007:i:2:p:102-121

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Web page: http://www.elsevier.com/locate/inca/505569

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References

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  1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
  2. Shlyakhter, Alexander I. & Kammen, Daniel M. & Broido, Claire L. & Wilson, Richard, 1994. "Quantifying the credibility of energy projections from trends in past data : The US energy sector," Energy Policy, Elsevier, vol. 22(2), pages 119-130, February.
  3. Sands, Ronald D., 2004. "Dynamics of carbon abatement in the Second Generation Model," Energy Economics, Elsevier, vol. 26(4), pages 721-738, July.
  4. Andy S. Kydes, 1999. "Energy Intensity and Carbon Emission Responses to Technological Change: The U.S. Outlook," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-121.
  5. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  6. Christopher Yang & Stephen Schneider, 1998. "Global Carbon Dioxide Emissions Scenarios: Sensitivity to Social and Technological Factors in Three Regions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 2(4), pages 373-404, December.
  7. O'Neill, Brian C. & Desai, Mausami, 2005. "Accuracy of past projections of US energy consumption," Energy Policy, Elsevier, vol. 33(8), pages 979-993, May.
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Cited by:
  1. Mamatzakis, E. & Koutsomanoli-Filippaki, A., 2014. "Testing the rationality of DOE's energy price forecasts under asymmetric loss preferences," Energy Policy, Elsevier, vol. 68(C), pages 567-575.
  2. Fischer, Carolyn & Herrnstadt, Evan & Morgenstern, Richard D., 2008. "Understanding Errors in EIA Projections of Energy Demand," Discussion Papers dp-08-54, Resources For the Future.
  3. Wilkerson, Jordan T. & Cullenward, Danny & Davidian, Danielle & Weyant, John P., 2013. "End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors," Energy Economics, Elsevier, vol. 40(C), pages 773-784.
  4. Andrea Bastianin & Matteo Manera & Anil Markandya & Elisa Scarpa, 2011. "Oil Price Forecast Evaluation with Flexible Loss Functions," Working Papers 2011.91, Fondazione Eni Enrico Mattei.
  5. Gholam Hossein Hasantash & Hamidreza Mostafaei & Shaghayegh Kordnoori, 2012. "Modelling the Errors of EIA’s Oil Prices and Production Forecasts by the Grey Markov Model," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 312-319.
  6. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Oil price forecasting under asymmetric loss," Discussion Papers 314, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
  7. Christoph Jeßberger, 2011. "Multilateral Environmental Agreements up to 2050: Are They Sustainable Enough?," Ifo Working Paper Series Ifo Working Paper No. 98, Ifo Institute for Economic Research at the University of Munich.
  8. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
  9. Christian Pierdzioch & Jan C Rülke & Georg Stadtmann, 2012. "Forecasting the Dollar/British Pound Exchange Rate: Asymmetric Loss and Forecast Rationality," Economics Bulletin, AccessEcon, vol. 32(3), pages A213.

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