Dynamic regression equations are estimated for each beef cattle breeding herd and beef cattle inventories at two levels of aggregation, the U.S. and Montana. The analysis for Montana was utilized as a guide for specification of the national equation to reduce the inference problem associated...

A heuristic criterion for choosing an acceptable level of bias in ridge regression is presented. The criterion is based on a noncentral F-test of the stochastic restrictions implicit in the ridge estimator. An appropriate significance level for the test is based on conjunctive use of strong and...

Statistical procedures are developed for reducing the number of autonomous state variables in stochastic dynamic optimization models when these variables follow a stationary process over time. These methods essentially delete part of the information upon which decisions are based while...

A dynamic optimatization model incorporating interrelationships among soil loss, topsoil depth, net farm income, and technological progress is developed. The model provides optimal values of soil loss and soil depth which maximize the stream of net farm ...

The dynamic structure of wheat acreage supply response is considerably more complex than previous studies have recognized. The distributed lag response is saw-toothed in its pattern, which is believed to eminate from the influence of summer fallow in crop rotations in the Great Plains. The...