Abstract: An annual model that explains the U.S. upland cotton farm price includes various market components, as well as government loan and storage programs in selected years. With the declining role of government agricultural programs, however, market supply and demand conditions, both in the United States and around the world, are now more influential in deter-mining U.S. cotton prices. An overall measure of supply and demand is provided by the stocks-to-use ratio, which is a useful tool in explaining inter-year price movements. The regression model presented explains 92 percent of the variation in upland cotton prices dur-ing the 1978 to 1996 marketing years. In addition, the effect of shifting one variable at a time and its impact on u...
The cotton basis is examined graphically and statistically to determine if the basis differs across ...
The last three years have realized significant structural changes in the U.S. agricultural policy en...
In recent years, several studies have examined 3) cotton, 4) grain sorghum, 5) barley, 6) oats, acre...
The purpose of this study was to analyze structural changes that took place in the cotton industry i...
The purpose of this study was to analyze structural changes that took place in the cotton industry i...
This report analyzes recent structural changes in the world cotton industry and develops a statistic...
An adaptive regression model is used to examine the relative importance of cash and government suppo...
Purpose; Procedure; Seasonal average price forecasting model; Monthly upland cotton price models; Co...
An adaptive regression model is used to examine the relative importance of cash and government suppo...
Few empirical basis studies have examined the basis in multiple regions and few have concentrated on...
Agricultural prices have long been forecast with reduced-form models including ending stocks as an ...
Typescript (photocopy).Over the last twenty years, Texas cotton acreage has ranged from 4 million to...
An econometric model of cotton acreage response was estimated for four distinct production regions i...
This paper uses a 37-year panel of state information to identify the effects of weather fluctuations...
Annual models for U.S. farm prices for corn and wheat are developed based on market factors as well ...
The cotton basis is examined graphically and statistically to determine if the basis differs across ...
The last three years have realized significant structural changes in the U.S. agricultural policy en...
In recent years, several studies have examined 3) cotton, 4) grain sorghum, 5) barley, 6) oats, acre...
The purpose of this study was to analyze structural changes that took place in the cotton industry i...
The purpose of this study was to analyze structural changes that took place in the cotton industry i...
This report analyzes recent structural changes in the world cotton industry and develops a statistic...
An adaptive regression model is used to examine the relative importance of cash and government suppo...
Purpose; Procedure; Seasonal average price forecasting model; Monthly upland cotton price models; Co...
An adaptive regression model is used to examine the relative importance of cash and government suppo...
Few empirical basis studies have examined the basis in multiple regions and few have concentrated on...
Agricultural prices have long been forecast with reduced-form models including ending stocks as an ...
Typescript (photocopy).Over the last twenty years, Texas cotton acreage has ranged from 4 million to...
An econometric model of cotton acreage response was estimated for four distinct production regions i...
This paper uses a 37-year panel of state information to identify the effects of weather fluctuations...
Annual models for U.S. farm prices for corn and wheat are developed based on market factors as well ...
The cotton basis is examined graphically and statistically to determine if the basis differs across ...
The last three years have realized significant structural changes in the U.S. agricultural policy en...
In recent years, several studies have examined 3) cotton, 4) grain sorghum, 5) barley, 6) oats, acre...