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Original Articles

Permanent shocks and forecasting with moving averages

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References

  • Andersen, T. G., H. Chung, and B. E. Sorensen. 1999. “Efficient Method of Moments Estimation of a Stochastic Volatility Model: A Monte Carlo Study.” Journal of Econometrics 91: 61–87. doi:10.1016/S0304-4076(98)00049-9.
  • Andersen, T. G., and B. E. Sørensen. 1996. “GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study.” Journal of Business & Economic Statistics 14: 328–352.
  • Andrews, D. W. K. 1997. “A Conditional Kolmogorov Test.” Econometrica 65: 1097–1128. doi:10.2307/2171880.
  • Balke, N. S. 1993. “Detecting Level Shifts in Times Series.” Journal of Business and Economic Statistics 11: 81–92.
  • Beran, R. 1988. “Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements.” Journal of the American Statistical Association 83: 687–697. doi:10.1080/01621459.1988.10478649.
  • Chang, I., G. C. Tiao, and C. Chen. 1988. “Estimation of Time Series Parameters in the Presence of Outliers.” Technometrics 30: 193–20. doi:10.1080/00401706.1988.10488367.
  • Corradi, V., and N. R. Swanson. 2007. “Nonparametric Bootstrap Procedures for Predictive Inference Based on Recursive Estimation Schemes.” International Economic Review 48: 67–109. doi:10.1111/iere.2007.48.issue-1.
  • Cragg, J. G. 1983. “More Efficient Estimation in the Presence of Heteroscedasticity of Unknown Form.” Econometrica 51: 751–763. doi:10.2307/1912156.
  • Dhuyvetter, K. C., and T. L. Kastens. 1998. “Forecasting Crop Basis: Practical Alternatives.” In Applied Commodity Price Analysis, Forecasting, and Market Risk Management, Proceedings of the NCR-134 Conference, 49–67. Available at http://www.farmdoc.illinois.edu/nccc134/conf_1998/pdf/confp5-98.pdf.
  • Durbin, J., and S. J. Koopman. 1998. Time Series Analysis of Non-Gaussian Observations Based on State Space Models from Both Classical and Bayesian Perspectives. Tilburg University, Center for Economic Research.
  • Durbin, J., and S. J. Koopman. 2012. Time Series Analysis by State Space Methods. 2nd ed. Clarendon: Oxford University Press.
  • Farmdoc. 2013. “Illinois Regional Cash Price Database.” University of Illinois at Urbana Champaign. http://farmdoc.illinois.edu/manage/uspricehistory/us_price_history.html.
  • Gallant, A. R., and G. E. Tauchen. 1996. “Which Moments to Match?” Econometric Theory 12: 657–681. doi:10.1017/S0266466600006976.
  • Garcia, P., S. H. Irwin, and A. Smith. 2015. “Futures Market Failure?” American Journal of Agricultural Economics 97: 40–64. doi:10.1093/ajae/aau067.
  • Granger, C. W. J., and P. Newbold. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics 2: 111–120. doi:10.1016/0304-4076(74)90034-7.
  • Hailu, G., A. Maynard, and A. Weersink. 2015. “Empirical Analysis of Corn and Soybean Basis in Canada.” Applied Economics 47 (51): 5491–5509. doi:10.1080/00036846.2015.1051654.
  • Hansen, L. P. 1982. “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica 50: 1029–1054. doi:10.2307/1912775.
  • Hatchett, B. R., B. W. Brorsen, and K. B. Anderson. 2010. “Optimal Length of Moving Average to Forecast Futures Basis.” Journal of Agricultural and Resource Economics 5: 18–33.
  • Heijmans, R. D. H., and J. R. Magnus. 1986a. “Asymptotic Normmality of Maximum Likelihood Estimators Obtained from Normally Distributed but Dependent Observations.” Econometric Theory 2: 374–412. doi:10.1017/S0266466600011671.
  • Heijmans, R. D. H., and J. R. Magnus. 1986b. “Consistent Maximum-Likelihood Estimation with Dependent Observations.” Journal of Econometrics 32: 253–285. doi:10.1016/0304-4076(86)90040-0.
  • Hnatkovska, V., V. Marmer, and Y. Tang. 2012. “Comparison of Misspecified Calibrated Models: The Minimum Distance Approach.” Journal of Econometrics 169: 131–138. doi:10.1016/j.jeconom.2012.01.007.
  • Jiang, B., and M. Hayenga. 1997. “Corn and Soybean Basis Behavior and Forecasting: Fundamental and Alternative Approaches.” In Applied Commodity Price Analysis, Forecasting, and Market Risk Management, Proceedings of the NCR-134 Conference, 125–140.http://www.farmdoc.illinois.edu/nccc134/conf_1997/pdf/confp9-97.pdf.
  • Kitagawa, G. 1987. “Non-Gaussian State Space Modeling of Nonstationary Time Series.” Journal of American Statistical Association 76: 1032–1064.
  • Letson, D., and B. D. McCullough. 1998. “Better Confidence Intervals: The Double Bootstrap with No Pivot.” American Journal of Agricultural Economics 80: 552–559. doi:10.2307/1244557.
  • Levine, D. 1983. “A Remark on Serial Correlation in Maximum Likelihood.” Journal of Econometrics 23: 337–342. doi:10.1016/0304-4076(83)90062-3.
  • Lumsdaine, R. L., and D. H. Papell. 1997. “Multiple Trend Breaks and the Unit Root Hypothesis.” Review of Economics and Statistics 79: 212–218. doi:10.1162/003465397556791.
  • Martin, M. A. 1990. “On Bootstrap Iteration for Coverage Correction in Confidence Intervals.” Journal of the American Statistical Association 85: 1105–1118. doi:10.1080/01621459.1990.10474982.
  • McCulloch, H. 2000. “State-Space Times Series Modeling of Structural Breaks.” Working Papers 00-11. Columbus, OH: Ohio State University, Department of Economics.
  • McCullough, B. D., and H. D. Vinod. 1998. “Implementing the Double Bootstrap.” Computational Economics 12: 79–95. doi:10.1023/A:1008637230094.
  • Merton, R. C. 1976. “Option Pricing When Underlying Stock Returns Are Discontinuous.” Journal of Financial Economics 3: 125–144. doi:10.1016/0304-405X(76)90022-2.
  • Perron, P. 1989. “The Great Crash, the Oil Price Shock and the Unit Root Hypothesis.” Econometrica 57: 1361–1401. doi:10.2307/1913712.
  • Pesaran, M. H., D. Pettenuzzo, and A. Timmermann. 2006. “Forecasting Time Series Subject to Multiple Structural Breaks.” Review of Economic Studies 73: 1057–1084. doi:10.1111/j.1467-937X.2006.00408.x.
  • Plosser, C. I., and G. W. Schwert. 1977. “Estimation of a Non-invertible Moving Average Process: The Case of Overdifferencing.” Journal of Econometrics 6: 199–224. doi:10.1016/0304-4076(77)90015-X.
  • Sanders, D. R., and M. R. Manfredo. 2006. “Forecasting Basis Levels in the Soybean Complex: A Comparison of Time Series Methods.” Journal of Agricultural and Applied Economics 38: 513–523.
  • Scholz, F. W. 1994. “On Exactness of the Parametric Double Bootstrap.” Statistica Sinica 4: 477–492.
  • Silvey, S. D. 1961. “A Note on Maximum-Likelihood in the Case of Dependent Random Variables.” Journal of the Royal Statistical Society Series B 23: 444–452.
  • Trivez, F. J. 1995. “Level Shifts, Temporary Changes and Forecasting.” Journal of Forecasting 14: 543–550. doi:10.1002/(ISSN)1099-131X.
  • Tsay, R. S. 1986. “Time Series Model Specification in the Presence of Outliers.” Journal of the American Statistical Association 81: 132–141. doi:10.1080/01621459.1986.10478250.
  • Tsay, R. S. 1988. “Outliers, Level Shifts, and Variance Changes in Time Series.” Journal of Forecasting 7: 1–20. doi:10.1002/(ISSN)1099-131X.
  • Wald, A. 1949. “Note on the Consistency of the Maximum Likelihood Estimate.” The Annals of Mathematical Statistics 20: 595–601. doi:10.1214/aoms/1177729952.
  • Zivot, E., and D. W. K. Andrews. 1992. “Further Evidence on the Great Crash, the Oil Price Shock, and the Unit Root Hypothesis.” Journal of Business and Economic Statistics 10: 251–270.

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