An evaluation of Congressional Budget Office's baseline projections of USDA mandatory farm and nutrition programs
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DOI: 10.1002/aepp.13457
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- 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.
- Andrew Patton & Allan Timmermann, 2012.
"Forecast Rationality Tests Based on Multi-Horizon Bounds,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17.
- Andrew J. Patton & Allan Timmermann, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17, June.
- Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
- Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1107-1125.
- Graham Elliott & Allan Timmermann, 2016.
"Economic Forecasting,"
Economics Books,
Princeton University Press,
edition 1, number 10740.
- Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
- Timmermann, Allan & Elliott, Graham, 2007. "Economic Forecasting," CEPR Discussion Papers 6158, C.E.P.R. Discussion Papers.
- Coppess, Jonathan & Schnitkey, Gary & Paulson, Nick & Zulauf, Carl, 2018. "Reviewing the CBO Baseline for 2018 Farm Bill Debate," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 8, April.
- Graham Elliott & Allan Timmermann, 2016.
"Forecasting in Economics and Finance,"
Annual Review of Economics, Annual Reviews, vol. 8(1), pages 81-110, October.
- Timmermann, Allan & Elliott, Graham, 2016. "Forecasting in Economics and Finance," CEPR Discussion Papers 11354, C.E.P.R. Discussion Papers.
- Elliott, Graham & Timmermann, Allan G, 2016. "Forecasting in Economics and Finance," University of California at San Diego, Economics Working Paper Series qt6z55v472, Department of Economics, UC San Diego.
- 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.
- 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(2), pages 1-11, December.
- Olivier Coibion & Yuriy Gorodnichenko, 2015.
"Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts,"
American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," Working Papers 102, Department of Economics, College of William and Mary.
- Mr. Olivier Coibion & Mr. Yuriy Gorodnichenko, 2012. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," IMF Working Papers 2012/296, International Monetary Fund.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," NBER Working Papers 16537, National Bureau of Economic Research, Inc.
- Mark S. Kamlet & David C. Mowery & Tsai-Tsu Su, 1987. "Whom do you trust? An analysis of executive and congressional economic forecasts," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 6(3), pages 365-384.
- Kevin L. Kliesen & Daniel L. Thornton, 2012. "How good are the government’s deficit and debt projections and should we care?," Review, Federal Reserve Bank of St. Louis, vol. 94(Jan), pages 21-39.
- Olga Isengildina & Scott H. Irwin & Darrel L. Good, 2006.
"Are Revisions to USDA Crop Production Forecasts Smoothed?,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1091-1104.
- Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Are Revisions To Usda Crop Production Forecasts Smoothed?," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19027, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- 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.
- Tilman Ehrbeck & Robert Waldmann, 1996. "Why Are Professional Forecasters Biased? Agency versus Behavioral Explanations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(1), pages 21-40.
- Michael T. Belongia, 1988. "Are economic forecasts by government agencies biased? Accurate?," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 15-23.
- Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
- Sanders, Dwight R. & Manfredo, Mark R., 2003. "USDA Livestock Price Forecasts: A Comprehensive Evaluation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-19, August.
- Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," The Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July.
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