We overview the roles of production structure models in measuring fisheries’ productive performance to provide policy-relevant guidance for fishery managers and analysts. In particular, we summarize the literature on the representation and estimation of production structure models to construct...

This paper examines productivity of a sample of grain marketing and farm supply cooperatives from 1990 to 1998. The cooperative industry’s productivity or growth was mainly due to improvement in technology rather than improvement in pure efficiency or scale. The cooperative...

This article tests the efficiency of the hog options market and assesses the impact of the 1996 contract redesign on efficiency. We find that the hog options market is efficient, but some options yielded excess returns during the live hogs period but not during the lean hogs period. Our findings...

This study examines the dynamic effects of grain prices and energy prices on catfish feed prices and the price of food-sized catfish at the farm level. Using the autoregressive distributed lag model and bounds testing procedure, a long-run relationship between feed and farm prices and their...

The measurement of productivity fluctuations has been the focus of decades-long interest. In addition to broad structural forces driving productivity changes, there is more recent interest in measuring and identifying the heterogeneous forces driving these changes. A major force is...

Cattle feeding enterprises operate amid variability originating in prices and production. Thisresearch explicitly models yield risks related to cattle feeding by relating the mean and varianceof yield performance factors to observable conditioning variables. The results demonstratethat pen...

This study uses a unique firm-level dataset to examine how falling trade costs from 1993-2001 affected entry, exit, productivity, and exporting in the Korean manufacturing sector. We verify many of the predictions of recent heterogeneous-firm models of international trade. For example, falling...