A logit model is used to estimate the elasticities and cross elasticities for freight transport services. The model is applied to a sample of cherry and apple shipments. The performance of the model in explaining choice of transportation method is highly satisfactory. Estimated coefficients, with one exception, have expected signs and are statistically significant.
It is well known that truck freight rates for different commodities over a given route vary and that rates per unit distance for the same commodity over different routes vary. In previous studies this variation has been attributed to noncompetitive behavior. In this paper a hypothesis that observed variations in truck rates are consistent with competitive behavior is tested using conjoint analysis. Trade-offs between costs or rates and other attributes of transport service are estimated from experiments using panels of truck brokers and carriers. The results are consistent with competitive behavior in the trucking industry.
The purpose of this paper is to provide an estimate of the elasticity and crosselasticities of demand for higher education facing an individual institution. The utility which a high school graduate derives from each educational option open to him is assumed to be a stochastic function of the attributes of that option. For certain types of utility functions the maximization of utility results in the logit probability model.This model is used to analyze the choices made by a sample of high school graduates in Hawaii. Estimates of the price elasticity and the cross-price elasticities of demand for enrollment at the University of Hawaii are obtained. It is found that the demand is quite inelastic with respect to both tuition and total cost of education. These estimates imply that changes in tuition will not affect enrollment appreciably.
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