The production structure of 165-hen and 200-tom turkey flocks is investigated using a translog (dual) variable cost function. The partial static equilibrium elasticities of scale, input demand, input substitution, and cross price elasticities of demand are calculated. The elasticity of scale is found to be not significantly different from one over the range of 5,900 to 9,822 birds for the hen flocks and over the range of 7,765 to 11,043 birds for the torn flocks. In general, the input demand elasticities are inelastic with the exception of the input fuel. The cross-price elasticities are in general inelastic.

Risk analysis continues to emphasize price and yield variability as the principal components of the decisionmaker's risk environment. This research demonstrates the relative importance of financial risk for a representative cotton farm in Arizona. For highly leveraged operations, financial risk may account for 70 percent of the total risk faced by the producer. Implications for future risk analysis are discussed in light of these findings.

This note describes an approach for teaching undergraduate students basic properties of cost and production functions with the aid of computer-generated illustrations. Parameters of a third degree polynomial are derived by making use of both the theoretical restrictions and the specific agricultural production process. The function is then used as the basis for the development of a simple computer graphics program which generates illustrations of the corresponding MPP, AC, and MC functions. Such illustrations can be used to make technically accurate visual aids.

The problem of scheduling input applications can be examined by extending conventional production function analysis. Using appropriately designed agricultural experiments, it is possible to estimate production function parameters with alternative specifications for input timing (and amount). A study of nitrogen applications to rice is employed to illustrate scheduling via production functions. Alternative specifications and functional forms are simultaneously examined to determine the sensitivity of economic results to these factors. Sensitivity is found to be high, and this finding is hypothesized to be critical for other approaches to input scheduling as well.

Rotations have historically been used to alleviate pest problems in crop production. This paper considers methods of modeling rotations in linear programming models for Southeastern vegetable production. In such models, entering each possible crop rotation as a separate activity can be burdensome because of the large numbers of possible rotational alternatives. Conventional methodology for double crop rotations reduces the number of activities but must be adapted to accommodate triple crop rotational requirements in vegetable production. This paper demonstrates these methods both for a simple example and an empirical problem with numerous rotation alternatives. While the methods presented in this paper may have computational disadvantages compared to entering each rotation as a separate activity, they do have advantages in model design and data management.

Recent egg price quotes are evaluated in a vector autoregression. The results indicate that empirical relationships observed over the period 1975-1976 differ from those observed over the period 1979-1982.

Accounting techniques of farm enterprise budgeting are rarely linked to the axioms of static production theory and to capital theory. This paper illustrates how certain linkages may be established. Particular attention is given to handling problems of scale economies, optimal output levels, replacement of durable inputs, inflation, and technological change. Estimates in an illustrative budget are linked to specific points on average cost curves. Budgeting for representative farm situations is compared to budgeting for specific situations.

The lease hunting system in Texas is described and discussed. Results of a hunter survey are reported and the value of ingress rights for white-tailed deer hunting in Texas is estimated. Results suggest that these rights are highly valuable and that services and facilities provided generally do not enhance the value of the hunting experience as much as access to additional game species on adequately large parcels of land.

The Risk-Rating Model is designed to give extension specialists, teachers, and producers a method to analyze production, marketing, and financial risks. These risks may be analyzed either individually or simultaneously. The risk associated with each enterprise, for all combinations of enterprises, and for any combination of marketing strategies is estimated. Optimistic, expected, and pessimistic returns above variable cost and/or total cost are presented in the results. The probability that total return will be equal to or greater than variable cost and/or total cost is also estimated.

Farm level risk analyses have used price and yield variability almost exclusively to represent risk. Results from a survey of 149 agricultural producers in 12 states indicate that producers consider a broader range of sources of variability in their operations. Significant differences exist among categories with respect to the importance of the sources of variability in crop and livestock production. Producers also used a variety of management responses to variability. There were significant difference among categories in the importance given to particular responses and their use of them. These results have implications for research, extension, and policy programs.