Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield
AbstractForecasts from regression models are frequently made conditional on a set of values for the regressor variables. We describe and illustrate how to obtain forecasts when some of those regressors are stochastic and their values have not yet been realized. The forecasting device is a Bayesian predictive density which accommodates variability from an unknown error term, uncertainty from unknown coefficients, and uncertainty from unknown stochastic regressors. We illustrate how the predictive density of a forecast changes as more regressors are observed and therefore fewer are unobserved. An example where the local-area wheat yield depends on the rainfall during three periods-germination, growing and flowering-is used to illustrate the methods. Both a noninformative prior and a prior with inequality restrictions on the regression coefficients are considered. The results show how the predictive density changes as more rainfall information becomes available.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 26 (2010)
Issue (Month): 2 (April)
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Web page: http://www.elsevier.com/locate/ijforecast
Bayesian forecasting Inequality restrictions Random regressors Rainfall distributions Truncated distributions;
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- Chatfield, Chris, 1993. "Calculating Interval Forecasts: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 143-44, April.
- Lance Fortnow & Rakesh V. Vohra, 2009. "The Complexity of Forecast Testing," Econometrica, Econometric Society, vol. 77(1), pages 93-105, 01.
- Andrew N. Kleit & Dek Terrell, 2001. "Measuring Potential Efficiency Gains From Deregulation Of Electricity Generation: A Bayesian Approach," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 523-530, August.
- Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 1999.
"Imposing Regularity Conditions On A System Of Cost And Factor Share Equations,"
12925, University of New England, School of Economics.
- Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 2000. "Imposing regularity conditions on a system of cost and factor share equations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), March.
- Ryan, David L & Wales, Terence J, 1998. "A Simple Method for Imposing Local Curvature in Some Flexible Consumer-Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 331-38, July.
- C. L Chua & W. E. Griffiths & C. J O'Donnell, 2001.
"Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints,"
Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie,
Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(3), pages 269-291, November.
- Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Department of Economics - Working Papers Series 806, The University of Melbourne.
- Feldstein, Martin S, 1971. "The Error of Forecast in Econometric Models when the Forecast-Period Exogenous Variables are Stochastic," Econometrica, Econometric Society, vol. 39(1), pages 55-60, January.
- Chatfield, Chris, 1993. "Calculating Interval Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 121-35, April.
- William Barnett & Apostolos Serletis, 2009.
"Measuring Consumer Preferences and Estimating Demand Systems,"
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
200901, University of Kansas, Department of Economics, revised Jan 2009.
- Barnett, William A. & Serletis, Apostolos, 2008. "Measuring Consumer Preferences and Estimating Demand Systems," MPRA Paper 12318, University Library of Munich, Germany.
- McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
- William Barnett & Apostolos Serletis, 2008.
"Consumer preferences and demand systems,"
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
200801, University of Kansas, Department of Economics, revised Jan 2008.
- Gallant, A. Ronald & Golub, Gene H., 1984.
"Imposing curvature restrictions on flexible functional forms,"
Journal of Econometrics,
Elsevier, vol. 26(3), pages 295-321, December.
- A. Ronald Gallant & Gene H. Golub, 1982. "Imposing Curvature Restrictions on Flexible Functional Forms," Discussion Papers 538, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- John R. Knight & C.F. Sirmans & Alan E. Gelfand & Sujit K. Ghosh, 1998. "Analyzing Real Estate Data Problems Using the Gibbs Sampler," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 469-492.
- Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-41, April.
- Lam, J. -P. & Veall, M. R., 2002. "Bootstrap prediction intervals for single period regression forecasts," International Journal of Forecasting, Elsevier, vol. 18(1), pages 125-130.
- Coelli, Tim J., 1992. "Forecasting Wheat Production Using Shire Level Data," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146430, Australian Agricultural and Resource Economics Society.
- Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
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