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Using the 2004 AC Nielsen panel consisting of over 38,000 households, the authors ascertain the influence of selected demographic variables associated with the purchase of organic fluid milk through the estimation of a probit model. From the use of the Heckman two-step procedure, they also calculate own-price, cross-price, and income elasticities by estimating demand relationships for both organic and conventional milk. They find that demographic factors play a crucial role in the household choice of purchasing organic milk. Furthermore, households are more sensitive to own-price changes in the case of organic milk versus conventional milk. Evidence from estimated cross-price elasticities indicates that organic and conventional milk are substitutes. However, quantities purchased of organic milk are more sensitive to changes in prices of conventional milk than vice versa. Consequently, an asymmetric pattern exists with regard to the substitution patterns of the respective milk types. Moreover, evidence indicates that organic milk is responsive to income changes, but conventional milk is not responsive to income changes. Finally, a 1% increase in the price of organic milk reduces total milk sales by 0.20%, but a 1% increase in the price of conventional milk raises total milk sales by 0.31%. [EconLit citations: C25, D12]. © 2010 Wiley Periodicals, Inc.

Families in low‐income neighborhoods sometimes lack access to supermarkets that provide a broad range of healthy foods. We investigate whether these so called “food deserts” play a role in childhood obesity using a statewide panel data set of Arkansas elementary schoolchildren. We use fixed‐effects panel data regression models to estimate the average food desert effect. We next compare children who left (entered) food deserts to children who were always (never) in food deserts and homogenize samples for those whose food desert status changed as a result of a change in residence and those whose status changed only as a consequence of the entry or exit of a supermarket. We present evidence that exposure to food deserts is associated with higher z‐scores for body mass index. On average, this is in the neighborhood of 0.04 standard deviations. The strongest evidence and largest association is among urban students and especially those that transition into food deserts from non‐deserts. Our food desert estimates are similar in magnitude to findings reported in earlier work on diet and lifestyle interventions targeting similarly aged schoolchildren. That said, we are unable to conclude that the estimated food desert effect is causal because many of the transitions into or out of food deserts result from a change in residence, an event that is endogenous to the child's household. However, there is evidence that food deserts are a risk indicator and that food desert areas may be obesogenic in ways that other low‐income neighborhoods are not.

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