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New Mse Tests For Evaluating Forecasting Performance: Empirics And Bootstrap

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  • Robledo, Carlos W.
  • Zapata, Hector O.
  • McCracken, Michael

Abstract

Two asymptotically valid out-of-sample MSE tests have been developed by Diebold-Mariano (1995) and Stock-Watson (1999). The empirical usefulness of the tests is illustrated through a U.S. wheat model estimated with fixed, recursive and rolling forecasting schemes. Bootstrap methods are adopted to reflect small sample size effect on tests.

Suggested Citation

  • Robledo, Carlos W. & Zapata, Hector O. & McCracken, Michael, 2001. "New Mse Tests For Evaluating Forecasting Performance: Empirics And Bootstrap," 2001 Annual meeting, August 5-8, Chicago, IL 20686, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20686
    DOI: 10.22004/ag.econ.20686
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    3. Robert G. Chambers & Richard E. Just, 1981. "Effects of Exchange Rate Changes on U.S. Agriculture: A Dynamic Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 32-46.
    4. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    5. David Kenyon & Eluned Jones & M. Anya McGuirk, 1993. "Forecasting Performance of Corn and Soybean Harvest Futures Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 399-407.
    6. Annette L. Clauson, 1997. "Forecasting Retail Food Prices Under Current Conditions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1669-1672.
    7. 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.
    8. Park, Timothy A., 1990. "Forecast Evaluation For Multivariate Time-Series Models: The U.S. Cattle Market," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-11, July.
    9. Meese, Richard A & Rogoff, Kenneth, 1988. " Was It Real? The Exchange Rate-Interest Differential Relation over the Modern Floating-Rate Period," Journal of Finance, American Finance Association, vol. 43(4), pages 933-948, September.
    10. Jeffrey H. Dorfman, 1998. "Bayesian Composite Qualitative Forecasting: Hog Prices Again," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 543-551.
    11. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    12. 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.
    13. John Spriggs & Michael Kaylen & David Bessler, 1982. "The Lead-Lag Relationship between Canadian and U.S. Wheat Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(3), pages 569-572.
    14. Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
    15. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    16. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
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