Arizona State and Local Government Documents Collection

Native American obesity and the associated health conditions are generally thought to result in part from a genetic predisposition to overeating fats and carbohydrates, called the “thrifty gene.” Although coined by nutritional scientists, this study maintains the origin of the thrifty gene lies in economics. Apparently harmful overconsumption and addiction constitute economically rational behavior if the increment to current utility from adding to one’s stock of “consumption capital” is greater than the present value of utility lost in the future due to ill health and the costs of withdrawal. Tests of these conditions for such “rational addiction” are conducted using two-stage household production approach. The results obtained by estimating this model in a panel of Native and non-Native supermarket scanner data show that both Natives and non-Natives tend to be inherently forward-looking in their nutrient choices, but Natives tend to have far higher long-run demand elasticities for carbohydrates compared to non-Natives. Consequently, reductions in real food prices over time, primarily among foods that are dense in simple carbohydrates, leads Native Americans to over-consume potentially harmful nutrients relative to their traditional diet.

This paper presents a general method for pricing weather derivatives. Specification tests find that a temperature series for Fresno, California follows a mean-reverting Brownian motion process with discrete jumps and ARCH errors. Based on this process, we define an equilibrium pricing model for cooling degree day weather options. Comparing option prices estimated with three methods: a traditional burn-rate approach, a Black-Scholes-Merton approximation, and an equilibrium Monte Carlo simulation reveals significant differences. Equilibrium prices are preferred on theoretical grounds, so are used to demonstrate the usefulness of weather derivatives as risk management tools for California specialty crop growers.

Supermarkets use periodic price promotions, or “sales” on a regular basis for a variety of products. Relatively little is understood about why supermarkets promote perishable items such as fresh fruits and vegetables, dairy products or meat. The primary contribution of this paper lies in demonstrating that sales among perishable food items are mixed-strategy equilibria among multi-product retailers in which managers choose both the size of the promotion and the number of products to promote.

Product-line length, or variety, is a key competitive tool used by retailers to differentiate themselves from rivals. Theoretical models of price and variety competition suggest that both store and product heterogeneity are key determinants of price and variety strategies, but none test this hypothesis in a rigorous way. This study provides the first empirical evidence on supermarket retailers’ combined price and variety strategies using a nested CES modeling framework. Unlike other discrete-choice models of product differentiation, the NCES model is sufficiently general to admit both corner and interior solutions in both store and product choice. The model is estimated using store-level scanner data for all grocery chains in a major West Coast market and finds that retailers do indeed use both price and product-line strategies to compete for market share, but tend to follow moderately cooperative pricing strategies and price and more cooperative strategies in variety.