Estimates of demand parameters for disaggregate finfish and shellfish products were obtained using scanner data from a retail food firm in Houston. Demand for the various products was elastic (except for oysters); in general, cross-price effects play a statistically significant role in pounds sold per 1000 customers. Own-advertisement effects are important, but cross-advertisement effects are generally marginal. Seasonality is a key factor in purchases of most finfish and shellfish products.

Factors unique to the turkey industry suggest that conclusions concerning market structure and demand specification drawn from aggregate poultry data cannot necessarily be extrapolated to the turkey industry. The Wu-Hausman endogeneity test is used to examine demand specifications and industry structure specifically for turkey meat. In contrast to general poultry, quantity—not price—is found to be predetermined in demand models that use annual turkey data. Quarterly demand analysis suggests this result stems from biological cycles that limit a producer's ability to react to price change and the use of a weighted average for determining price and quantity.

This study identifies the most important factors affecting customers’ decisions to buy pick-your-own versus prepicked strawberries and muscadine grapes at direct-market operations in North Carolina. The relative importance analysis identified the region of location of the operations and prices as the explanatory variable explaining most of the variation observed in the customer's decision to choose the type of fruit to purchase. The estimated price elasticities indicate that sales of each type of fruit are very sensitive to prices.

To alleviate the inefficiencies caused by the interaction of the logic and functional sides, integrated languages may take advantage of demand information, i.e. knowing in advance which computations are needed and, to which extent, in a particular context. This work studies demand analysis – which is closely related to backwards strictness analysis – in a semantic framework of partial predicates, which in turn are constructive realizations of ideals in a domain. This will allow us to give a concise, unified presentation of demand analysis, to relate it to other analyses based on abstract interpretation or strictness logics, some hints for the implementation, and, more important, to prove the soundness of our analysis based on demand equations. There are also some innovative results. One of them is that a set constraint-based analysis has been derived in a stepwise manner using ideas taken from the area of program transformation. The other one is the possibility of using program transformation itself to perform the analysis, specially in those domains of properties where algorithms based on constraint solving are too weak.