We developed an expensiveness index and used the Food Acquisition and Purchase Survey data set to examine empirically whether Supplemental Nutrition Assistance Program (SNAP) participants pay higher prices compared with nonqualifying and qualifying, but nonparticipating, households. Purchasers’ ability to minimize food expenditures has significant effects on the program’s effectiveness and on participants’ food security. Using ordinary least squares and two techniques that control for the endogeneity of SNAP participation, we found no significant effect of SNAP participation on food prices. Moreover, we found that SNAP participants pay, on average, lower prices than do nonparticipants. We conclude by providing suggestions for policy improvements and implications for future research.

Consumer preferences are likely to become more important in policy and market initiatives in developing countries. This study explores current and potential demand for high-quality beef in Ecuador. A survey of 547 households (including two choice experiments) was carried out in order to gather knowledge, quality perceptions, and experiences regarding Ecuadorian beef and preferences for specific beef attributes. Consumers have positive and economically significant willingness-to-pay values for all credence attributes considered in the study: sanitary control, meat maturation, animal welfare, and traceability. The results provide evidence that there is a potential market for increased-quality beef in Ecuador.

This paper analyzes the effect of labeling information on U.S. farmers' herbicide choices. Herbicide choices reported by U.S. soybean farmers are used to estimate farmer preferences for different herbicide attributes using a mixed logit model. Our results indicate that statements displayed on pesticide labels regarding risks to human health and the environment are important components in herbicide selection. We find that farmers are willing to pay an average of $27 per acre to avoid using an herbicide labeled with the word “Warning” and $38 per acre to avoid using an herbicide labeled with the word “Danger.”

This paper develops and applies a methodology to assess the accuracy of historical loss-cost rating procedures, similar to those used by the U.S. Department of Agriculture's Risk Management Agency (RMA), versus alternative parametric premium estimation methods. It finds that the accuracy of loss-cost procedures leaves much to be desired, but can be markedly improved through the use of alternative methods and increased farm-level yield sample sizes. Evidence suggests that the high degree of inaccuracy in crop insurance premium estimations through historical loss-cost procedures identified in the paper might be a major factor behind the need for substantial government subsidies to keep the program solvent.

This study investigates consumer preferences for a marketing system that improves integration of farmers into a local food system. Attribute-based methods are used to estimate consumer willingness to pay for a locally grown product that is bundled with a local food bank (LFB) donation. Estimates reveal that, on average, households are willing to pay 11% more for locally grown relative to nonlocal agricultural products. When the locally grown product attribute is combined with a donation to support a LFB, the premium nearly doubles. Results suggest that the proposed system could provide resources to strengthen local food distribution networks.

We demonstrate the use of the small-sample econometrics principles and strategies to come up with reliable yield and acreage models for policy analyses. We focus on demonstrating the importance of proper representation of systematic and random components of the model for improving forecasting precision along with more reliable confidence intervals for the forecasts. A probability distribution function modeling approach, which has been shown to provide more reliable confidence intervals for the dependent variable forecasts than the standard models that assume error term normality, is used to estimate cotton supply response in the Southeastern United States.

Production function models for cotton lint yields, seed yields, turnout, and lint quality characteristics are developed for the Texas High Plains. They are used to evaluate the impacts of quality considerations and of climate/weather information on the management decisions and on the profitability and risk of irrigated cotton production systems. It is concluded that both quality considerations and improved climatic/weather information could have substantial effects on expected profitability and risk. These effects mainly occur because of changes in optimal variety selection and irrigation water use levels. Quality considerations in particular result in significantly lower irrigation water use levels regardless of the climate/weather information assumption, which has important scarce-resource use implications for the Texas High Plains.

This study examined how various components of the Certified South Carolina campaign are valued by participating restaurants. A choice experiment was conducted to estimate the average willingness to pay (WTP) for each campaign component using a mixed logit model. Three existing campaign components—Labeling, Multimedia Advertising, and the “Fresh on the Menu” program—were found to have a significant positive economic value. Results also revealed that the type of restaurant, the level of satisfaction with the campaign, and the factors motivating participation significantly affected restaurants' WTP for the campaign components.

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.

This paper analyzes the European Union (EU) import demand for in-shell peanuts from three sources: the United States, China, and the rest of the world. We find that peanuts from different sources are differentiated by EU consumers. The expenditure elasticity is elastic for U.S. in-shell peanuts, which is associated with their higher quality. The conditional own price elasticities are more elastic for U.S. and Chinese in-shell peanuts. These findings have at least two implications. First, U.S. producers and exporters should direct efforts to ensure that in-shell peanuts exported to the EU are of the best possible quality, and, second, promotion efforts should stress the quality of U.S peanuts as an advertising tool.

This study evaluates the effectiveness of a point of purchase advertising program conducted for two local horticultural brands in Texas. The results based on surveys gathered before and after the program was launched suggest that the campaign size was not sufficient to significantly increase brand awareness and overall demand, yet it increased willingness to pay by 5.5% for those consumers aware of one of the brands. A major factor found to increase willingness to pay and likelihood of brand awareness was purchase frequency measured in transactions per month, which suggests that other advertising methods aimed to increase buying frequency might affect demand more effectively.

The distributions currently used to model and simulate crop yields are unable to accommodate a substantial subset of the theoretically feasible mean-variance-skewness-kurtosis (MVSK) hyperspace. Because these first four central moments are key determinants of shape, the available distributions might not be capable of adequately modeling all yield distributions that could be encountered in practice. This study introduces a system of distributions that can span the entire MVSK space and assesses its potential to serve as a more comprehensive parametric crop yield model, improving the breadth of distributional choices available to researchers and the likelihood of formulating proper parametric models.