Accuracy and efficiency in the U.S. Department of Energy's short-term supply forecasts
One-step-ahead forecasts of quarterly crude oil, natural gas, electricity, and coal supplies are evaluated under two general approaches: accuracy-based measures and classification- or directional-based measures. Results suggest the U.S. Department of Energy (DOE) supply forecasts for U.S. domestic energy products are generally more accurate than a naïve alternative. There is only limited evidence of bias and inefficiency in the forecasts; although there is some evidence of error repetition. Directional forecasts for supply changes are statistically better than random, but they generally do not outperform a naïve forecast.
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- Pesaran, M. Hashem & Timmermann, Allan G., 1994.
"A generalization of the non-parametric Henriksson-Merton test of market timing,"
Elsevier, vol. 44(1-2), pages 1-7.
- Pesaran, M.H. & Timmermann, A.G., 1992. "A Generalisation of the Non-Parametric Henriksson-Merton Test of Market Timing," Cambridge Working Papers in Economics 9218, Faculty of Economics, University of Cambridge.
- Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
- Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Stein, Jerome L, 1981. "Speculative Price: Economic Welfare and the Idiot of Chance," The Review of Economics and Statistics, MIT Press, vol. 63(2), pages 223-232, May.
- Ringwood, J. V. & Austin, P. C. & Monteith, W., 1993. "Forecasting weekly electricity consumption : A case study," Energy Economics, Elsevier, vol. 15(4), pages 285-296, October.
- 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.
- Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
- William D. Nordhaus, 1985. "Forecasting Efficiency: Concepts and Applications," Cowles Foundation Discussion Papers 774, Cowles Foundation for Research in Economics, Yale University.
- Mills, Terence C. & Pepper, Gordon T., 1999. "Assessing the forecasters: an analysis of the forecasting records of the Treasury, the London Business School and the National Institute," International Journal of Forecasting, Elsevier, vol. 15(3), pages 247-257, July.
- David J. Smyth, 1973. "Effect of Public Price Forecasts on Market Price Variation: A Stochastic Cobweb Example," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(1), pages 83-88.
- Brown, Bryan W & Maital, Shlomo, 1981. "What Do Economists Know? An Empirical Study of Experts' Expectations," Econometrica, Econometric Society, vol. 49(2), pages 491-504, March.
- Holden, K & Peel, D A, 1990. "On Testing for Unbiasedness and Efficiency of Forecasts," The Manchester School of Economic & Social Studies, University of Manchester, vol. 58(2), pages 120-127, June.
- Cumby, Robert E. & Modest, David M., 1987. "Testing for market timing ability : A framework for forecast evaluation," Journal of Financial Economics, Elsevier, vol. 19(1), pages 169-189, September.
- Granger, Clive W J, 1996. "Can We Improve the Perceived Quality of Economic Forecasts?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 455-473, Sept.-Oct.
- Bailey, DeeVon & Brorsen, B. Wade, 1998. "Trends In The Accuracy Of Usda Production Forecasts For Beef And Pork," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(02), December.
- Irwin, Scott H. & Good, Darrel L. & Gomez, Jennifer K., 2001. "The Value Of Usda Outlook Information: An Investigation Using Event Study Analysis," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18948, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Jordi Pons, 2001. "The rationality of price forecasts: a directional analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 287-290.
- Assimakopoulos, V. & Psarras, J., 1992. "A double horizon peak demand forecast model," Energy Economics, Elsevier, vol. 14(2), pages 103-106, April.
- Freebairn, John W., 1978. "An Evaluation of Outlook Information for Australian Agricultural Commodities," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 46(03), December.
- Chang, Eric C, 1985. " Returns to Speculators and the Theory of Normal Backwardation," Journal of Finance, American Finance Association, vol. 40(1), pages 193-208, March.
- Lynch, Michael C., 2002. "Forecasting oil supply: theory and practice," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 373-389. Full references (including those not matched with items on IDEAS)
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