KEEP UP THE GOOD WORK? AN EVALUATION OF THE USDA'S LIVESTOCK PRICE FORECASTS
Dwight R. Sanders and
Mark Manfredo
No 18990, 2003 Conference, April 21-22, 2003, St. Louis, Missouri from NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management
Abstract:
One step-ahead forecasts of quarterly live cattle, live hog, and broiler prices are evaluated under two general approaches: accuracy-based measures and the ability to categorize price movements directionally or within a forecasted range. Results suggest USDA price forecasts are not optimal. Broiler price forecasts are biased, and all the forecast series tend to repeat errors. While the USDA forecasts are more accurate that those of a univariate AR(4) time series model, the evidence suggests that live cattle forecasts could be improved with a composite forecast. However, the USDA correctly identifies the direction of price change in at least 70% of its forecasts. Prices fall within the USDA's forecasted range 48% of the time for broilers but only 35% for hogs. Finally, there is some evidence that the USDA's price forecasting accuracy has improved over time for broilers, but it has gotten marginally worse for hogs.
Keywords: Demand; and; Price; Analysis (search for similar items in EconPapers)
Pages: 24
Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://ageconsearch.umn.edu/record/18990/files/cp03sa01.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:ncrthr:18990
DOI: 10.22004/ag.econ.18990
Access Statistics for this paper
More papers in 2003 Conference, April 21-22, 2003, St. Louis, Missouri from NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().