Researchers should be wary of the expectations framework and optimization method employed when drawing conclusions about the likely production behavior of farmers The article compares the predictive accuracy of two expectational schemes, supply-based expectations (SBE) and adaptive expectations (ADE), and two modeling approaches, multiperiod linear programming (MPLP) and recursive strategic linear programming (RSLP) Estimated costs of expectational error were sensitive to expectational assumptions and modeling methods Unanticipated annual revenue gains for the model farm ranged as high as $75,000 for the SBE scheme with the MPLP model, and shortfalls ranged as high as $52,000 for the ADE scheme with the RSLP model The magnitude of unanticip...
Crop models are important tools for impact assessment of climate change, as well as for exploring ma...
The consequences of frequently used price expectation models are analyzed by comparing the responsiv...
Agricultural production relies to a great extent on biological processes in natural environments. In...
Researchers should be wary of the expectations framework and optimization method employed when drawi...
Using linear programming in bio-economic farm modelling often results in overspecialised model solut...
Typescript (photocopy).The objective of this study was to analyze the interrelationship between expe...
The USDA’s forecasts for net farm income are important inputs for businesses, legislators, economist...
A long term whole farm analysis comparing conventional and low-input farming systems is reviewed. A ...
The last two farm bills have used moving averages and Olympic moving averages in computing revenue b...
Abstract function (Knez et al.). Wilde et al. are even Farm level risk analyses have used price stro...
Adjustments in enterprise organization and re- function and goal orientations have on the annual sou...
This study evaluates linear programming (LP) and positive mathematical programming (PMP) ...
Not AvailableCrop yield forecast is valuable to many players in the agri-food chain, including agron...
The degree to which U.S. farm programs are decoupled from production has been a central issue in rec...
soybean futures contracts have not been good forecasts of harvest p ¡ Regression analysis of price f...
Crop models are important tools for impact assessment of climate change, as well as for exploring ma...
The consequences of frequently used price expectation models are analyzed by comparing the responsiv...
Agricultural production relies to a great extent on biological processes in natural environments. In...
Researchers should be wary of the expectations framework and optimization method employed when drawi...
Using linear programming in bio-economic farm modelling often results in overspecialised model solut...
Typescript (photocopy).The objective of this study was to analyze the interrelationship between expe...
The USDA’s forecasts for net farm income are important inputs for businesses, legislators, economist...
A long term whole farm analysis comparing conventional and low-input farming systems is reviewed. A ...
The last two farm bills have used moving averages and Olympic moving averages in computing revenue b...
Abstract function (Knez et al.). Wilde et al. are even Farm level risk analyses have used price stro...
Adjustments in enterprise organization and re- function and goal orientations have on the annual sou...
This study evaluates linear programming (LP) and positive mathematical programming (PMP) ...
Not AvailableCrop yield forecast is valuable to many players in the agri-food chain, including agron...
The degree to which U.S. farm programs are decoupled from production has been a central issue in rec...
soybean futures contracts have not been good forecasts of harvest p ¡ Regression analysis of price f...
Crop models are important tools for impact assessment of climate change, as well as for exploring ma...
The consequences of frequently used price expectation models are analyzed by comparing the responsiv...
Agricultural production relies to a great extent on biological processes in natural environments. In...