Economists are faced with the continual need for reliable estimates of farmers' aggregate supply response. They search accordingly for procedures that will reduce the computational burden and strengthen the reliability of these estimates. The author describes how the "variable resource programming" technique can be used to help alleviate a major problem encountered when "representative" farms are analyzed to generate aggregate information. This is the problem of determining the proper kind and number of farms to include in the analysis. The article also illustrates how variable resource programming can contribute a wealth of information pertaining to other production research problems, such as determining the optimum combination of enterpri...
Mathematical programming models are widely used in agricultural sector analysis. However, the lack o...
The primary objective of this study is to determine the combination of crop and livestock enterprise...
As sector programming models have increased in number, they have also increased, individually, in si...
Economists are faced with the continual need for reliable estimates of farmers' aggregate supply res...
Our continuing experienced decline in the number of farms often provides an opportunity for the acre...
Variations in individual fann characteristics and behavior of farm operators are taken into account ...
Using data only on aggregate variable input use and land allocation, this paper suggests a methodolo...
The general objective of the study was to develop profit-maximizing plans for a low income farm area...
Graduation date: 1971The main focus was on developing an algorithm and supporting computer programs ...
The allocation of variable inputs among crops is a common problem in applied studies that use farm a...
Because methods of eliminating aggregation bias are impracticable, an alternative method is suggeste...
Optimal variable input levels for farm program crops are examined. Calculus-derived inferences are c...
The overall objective of this study was to develop profit-maximizing plans for farms using suppleme...
It is a common lament amongst agricultural economists that there is a lack of suitable data on input...
Some of the major mathematical programming techniques that have been developed since the application...
Mathematical programming models are widely used in agricultural sector analysis. However, the lack o...
The primary objective of this study is to determine the combination of crop and livestock enterprise...
As sector programming models have increased in number, they have also increased, individually, in si...
Economists are faced with the continual need for reliable estimates of farmers' aggregate supply res...
Our continuing experienced decline in the number of farms often provides an opportunity for the acre...
Variations in individual fann characteristics and behavior of farm operators are taken into account ...
Using data only on aggregate variable input use and land allocation, this paper suggests a methodolo...
The general objective of the study was to develop profit-maximizing plans for a low income farm area...
Graduation date: 1971The main focus was on developing an algorithm and supporting computer programs ...
The allocation of variable inputs among crops is a common problem in applied studies that use farm a...
Because methods of eliminating aggregation bias are impracticable, an alternative method is suggeste...
Optimal variable input levels for farm program crops are examined. Calculus-derived inferences are c...
The overall objective of this study was to develop profit-maximizing plans for farms using suppleme...
It is a common lament amongst agricultural economists that there is a lack of suitable data on input...
Some of the major mathematical programming techniques that have been developed since the application...
Mathematical programming models are widely used in agricultural sector analysis. However, the lack o...
The primary objective of this study is to determine the combination of crop and livestock enterprise...
As sector programming models have increased in number, they have also increased, individually, in si...