A discrete stochastic programming model of the farming system of the eastern wheatbelt of Western Australia is used to examine the effect of tactical responses and risk aversion on wheat supply. Including within-season tactical changes to wheat areas decreases the own-price elasticity of supply. By contrast, introducing risk aversion has no consistent effect on the own-price elasticity of supply. The implications for supply models are discussed
The value of a seasonal forecasting system based on phases of the Southern Oscillation was estimated...
Wheat acreage responses to expected wheat price and price risk are reversed for program and nonprogr...
Wheat is the second most important field crop grown in South Africa in terms of gross value. Most of...
A discrete stochastic programming model of the farming system of the eastern wheatbelt of Western Au...
A model of Australian wheat grower supply response was specified under the constraints of price and ...
The previous two papers have discussed the possible effects that proposed public policy may have on ...
In dryland agricultural systems, efficient farm management requires a degree of flexibility accordin...
This study develops an econometric acreage response model for wheat in the Pacific Northwest (Oregon...
The assumption in standard expected utility model formulations that the coefficient of risk aversion...
Graduation date:1985A model of agricultural decision making is developed and tested in this thesis. ...
To increase wheat production, governments can subsidize wheat farmers by purchasing their produce at...
This study investigates the role of risk in farmers' acreage decisions in the Northcentral region by...
The value of a seasonal forecasting system based on phases of the Southern Oscillation was estimated...
The effects on marketing margins and Texas wheat producers of shifting from a period with stable pri...
Supply response equations were estimated for a number of regions in south-eastern Australia using th...
The value of a seasonal forecasting system based on phases of the Southern Oscillation was estimated...
Wheat acreage responses to expected wheat price and price risk are reversed for program and nonprogr...
Wheat is the second most important field crop grown in South Africa in terms of gross value. Most of...
A discrete stochastic programming model of the farming system of the eastern wheatbelt of Western Au...
A model of Australian wheat grower supply response was specified under the constraints of price and ...
The previous two papers have discussed the possible effects that proposed public policy may have on ...
In dryland agricultural systems, efficient farm management requires a degree of flexibility accordin...
This study develops an econometric acreage response model for wheat in the Pacific Northwest (Oregon...
The assumption in standard expected utility model formulations that the coefficient of risk aversion...
Graduation date:1985A model of agricultural decision making is developed and tested in this thesis. ...
To increase wheat production, governments can subsidize wheat farmers by purchasing their produce at...
This study investigates the role of risk in farmers' acreage decisions in the Northcentral region by...
The value of a seasonal forecasting system based on phases of the Southern Oscillation was estimated...
The effects on marketing margins and Texas wheat producers of shifting from a period with stable pri...
Supply response equations were estimated for a number of regions in south-eastern Australia using th...
The value of a seasonal forecasting system based on phases of the Southern Oscillation was estimated...
Wheat acreage responses to expected wheat price and price risk are reversed for program and nonprogr...
Wheat is the second most important field crop grown in South Africa in terms of gross value. Most of...
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