This study illustrates the differences in empirical results due to data measurements and estimating procedures when applying the single index market model in agriculture. Gross and net return betas along with systematic and unsystematic risk proportions are estimated and found to be different. The stochastic coefficients model is used to show the difference in beta-risk estimates compared with the traditional fixed coefficients OLS procedure. A third estimating technique, weighted least squares/Prais Winsten method, is also proposed.

While the use of gear restrictions to regulate fishing activity seldom has the objective of improving economic efficiency, it is capable of achieving that result under some conditions. It can also reduce economic efficiency. This paper explores the way several factors affect the sign and magnitude of welfare gains from fishing gear restrictions. These factors include, among others: the fixity or variability of the price of fish and the presence or absence of diminishing short-run average product of effort. Some generalizations are offered regarding the characteristics of fisheries in which gear restrictions are most likely to produce welfare gains.

Logit regression models are estimated to identify factors affecting decisions to enroll farmland in New York's agricultural districts program and participate in the use-value assessment program. The results suggest that the districts law is consistent with preserving the best farmland at the rural-urban fringe and that the decision to enroll in agricultural districts affects in a recursive fashion the decision to participate in the use-value assessment program. Short-term monetary gains are the overriding considerations in applying for use-value exemptions. This may lead to additional erosion of the tax base via tax preferences for agricultural land.