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Plant-process model corn yield forecasts for Iowa

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  • Krog, David Russell

Abstract

The objective was to develop a plant-process corn yield forecasting model and examine how effective these forecasts might be in improving corn yield forecasts made at the state and crop reporting district level in Iowa. This study was conducted in light of recent budget cuts by the National Agricultural Statistics Service (NASS) and elimination of the reporting of district corn yield forecasts in Iowa;Results indicated that district and state plant-process model (PPM) corn yield forecasts perform well compared to NASS forecasts in August and September but not very well in October and November. Also, the PPM forecasts did not perform well in the southern districts of Iowa. The PPM does not appear to be a comparable substitute for past NASS district corn yield forecasts;Combining PPM and NASS forecasts gives composite yield forecasts that are superior to both PPM and NASS forecasts, especially for the August forecast. At this stage in development, therefore, the usefulness of PPM forecasts would come from supplementing NASS sample yield information.

Suggested Citation

  • Krog, David Russell, 1988. "Plant-process model corn yield forecasts for Iowa," ISU General Staff Papers 1988010108000010686, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:1988010108000010686
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    1. Jacob A. Mincer & Victor Zarnowitz, 1969. "The Evaluation of Economic Forecasts," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 3-46, National Bureau of Economic Research, Inc.
    2. Figlewski, Stephen, 1983. "Optimal Price Forecasting Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 13-21, February.
    3. Statistical Reporting Service, United States Department of Agriculture, 1983. "Scope and Methods of the Statistical Reporting Service," USDA Miscellaneous 320022, United States Department of Agriculture.
    4. Phillips, Robert F, 1987. "Composite Forecasting: An Integrated Approach and Optimality Reconsidered," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 389-395, July.
    5. Spyros Makridakis & Robert L. Winkler, 1983. "Averages of Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 29(9), pages 987-996, September.
    6. Bernard Oury, 1965. "Allowing for Weather in Crop Production Model Building," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(2), pages 270-283.
    7. Hayami, Yujiro & Peterson, Willis, 1972. "Social Returns to Public Information Services: Statistical Reporting of U. S. Farm Commodities," American Economic Review, American Economic Association, vol. 62(1), pages 119-130, March.
    8. Stanley R. Johnson & Matthew T. Holt, 1986. "Value of Climate Information, The," Center for Agricultural and Rural Development (CARD) Publications 86-sr6, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. David F. Bradford & Harry H. Kelejian, 1977. "The Value of Information for Crop Forecasting in a Market System: Some Theoretical Issues," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 519-531.
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    Cited by:

    1. Skold, Karl Durwood, 1989. "The integration of alternative information systems: an application to the Hogs and Pigs report," ISU General Staff Papers 1989010108000010239, Iowa State University, Department of Economics.

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