Wheat, barely, flaxseed, and oilseed sunflower acreage respond to different economic variables. Wheat and barely acreage must be divided among program-complying, program-planted, and nonprogram-planted acreage because these categories respond to different variables and respond to own expected-revenue and price-risk variables in opposite ways. Flaxseed, sunflower, and nonprogram-planted acreage of wheat and barley have highly significant, positive responses to their own expected revenue and negative responses to their own-price risk. Flaxseed and sunflower acreage have been more responsive to their lagged values than to expected revenues for wheat
A wheat acreage response function was estimated for Kansas using the Generalized Method of Moments (...
The impact pre-harvest hedging and crop insurance strategies have on expected revenue and associated...
Revenue was simulated for dryland wheat farms in Kansas using historical yields, prices, and estimat...
Wheat, barely, flaxseed, and oilseed sunflower acreage respond to different economic variables. Whea...
Wheat, barley, flaxseed, and oilseed sunflower acreage respond to different economic variables. Whea...
Wheat acreage responses to expected wheat price and price risk are reversed for program and nonprogr...
An acreage supply response model is developed under expected utility maximization. The resulting fra...
This study develops an econometric acreage response model for wheat in the Pacific Northwest (Oregon...
Crop revenue variability, which differs across crops and their growing regions and the geographic le...
Graduation date: 1980National farm legislation seeks to moderate the conditions of low farm incomes ...
An econometric model of planted wheat acreage was estimated for five distinct production regions in ...
Expected prices and expected net returns from cropping activities are used to estimate soybean acrea...
Rankings of different risk management portfolios including Average Crop Revenue Election (ACRE), tra...
Non-Peer ReviewedProducers, particularly in the Brown and drier parts of the Dark Brown soil zones, ...
Regional acreage response equations were developed to measure the impact of price, government progra...
A wheat acreage response function was estimated for Kansas using the Generalized Method of Moments (...
The impact pre-harvest hedging and crop insurance strategies have on expected revenue and associated...
Revenue was simulated for dryland wheat farms in Kansas using historical yields, prices, and estimat...
Wheat, barely, flaxseed, and oilseed sunflower acreage respond to different economic variables. Whea...
Wheat, barley, flaxseed, and oilseed sunflower acreage respond to different economic variables. Whea...
Wheat acreage responses to expected wheat price and price risk are reversed for program and nonprogr...
An acreage supply response model is developed under expected utility maximization. The resulting fra...
This study develops an econometric acreage response model for wheat in the Pacific Northwest (Oregon...
Crop revenue variability, which differs across crops and their growing regions and the geographic le...
Graduation date: 1980National farm legislation seeks to moderate the conditions of low farm incomes ...
An econometric model of planted wheat acreage was estimated for five distinct production regions in ...
Expected prices and expected net returns from cropping activities are used to estimate soybean acrea...
Rankings of different risk management portfolios including Average Crop Revenue Election (ACRE), tra...
Non-Peer ReviewedProducers, particularly in the Brown and drier parts of the Dark Brown soil zones, ...
Regional acreage response equations were developed to measure the impact of price, government progra...
A wheat acreage response function was estimated for Kansas using the Generalized Method of Moments (...
The impact pre-harvest hedging and crop insurance strategies have on expected revenue and associated...
Revenue was simulated for dryland wheat farms in Kansas using historical yields, prices, and estimat...