The USDA seven states Cattle on Feed report provides significant market information to all stages of the cattle industry. Considerable effort has been spent both by public agencies and private industry to improve on the accuracy and timing of this information. Because this information has an impact on the market, many efforts have been made to forecast it prior to its release. A key question is if a more comprehensive data set were available, could more accurate forecasts of the information in the USDA report be completed in a timely manner. This effort uses traditional time series forecasting methods to examine models using both public and private information to forecast monthly fed cattle marketings. The public information model uses data...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
As noted in a recent article by Harris [5], many on farms January 1 by state (early February). The a...
Purpose – The purpose of this paper is to use prediction markets to forecast an agricultural event: ...
Unknown aggregate data series for the placement weight, growth rate, and sex composition of cattle p...
Graduation date: 1983The cattle industry in the Pacific Northwest is characterized by a large number...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Master of ScienceDepartment of Agricultural EconomicsGlynn T. TonsorThe objective of this analysis i...
One-step-ahead forecasts of quarterly beef, pork, and poultry production are examined and evaluated ...
This paper examines USDA one-step ahead forecasts of quarterly beef, pork, and poultry production. T...
The performance and economic value of public outlook forecasts has been of continuing interest to ag...
One-step-ahead forecasts of quarterly live cattle, live hog, and broiler prices are eval-uated under...
Recent studies have tested whether futures prices respond to U.S. Department of Agriculture inventor...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Market-ready inventories are cattle which have reached an adequate degree of feeding finish but whic...
Knowing the number, timing, and weights of cattle placed on feed should be useful in forecasting bee...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
As noted in a recent article by Harris [5], many on farms January 1 by state (early February). The a...
Purpose – The purpose of this paper is to use prediction markets to forecast an agricultural event: ...
Unknown aggregate data series for the placement weight, growth rate, and sex composition of cattle p...
Graduation date: 1983The cattle industry in the Pacific Northwest is characterized by a large number...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Master of ScienceDepartment of Agricultural EconomicsGlynn T. TonsorThe objective of this analysis i...
One-step-ahead forecasts of quarterly beef, pork, and poultry production are examined and evaluated ...
This paper examines USDA one-step ahead forecasts of quarterly beef, pork, and poultry production. T...
The performance and economic value of public outlook forecasts has been of continuing interest to ag...
One-step-ahead forecasts of quarterly live cattle, live hog, and broiler prices are eval-uated under...
Recent studies have tested whether futures prices respond to U.S. Department of Agriculture inventor...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Market-ready inventories are cattle which have reached an adequate degree of feeding finish but whic...
Knowing the number, timing, and weights of cattle placed on feed should be useful in forecasting bee...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
As noted in a recent article by Harris [5], many on farms January 1 by state (early February). The a...
Purpose – The purpose of this paper is to use prediction markets to forecast an agricultural event: ...