Analyzing the Determinants of Technical Efficiency Among Traditional Dairy Farms in Wisconsin: A Quantile Regression Approach

This study analyzes the determinants of TE among traditional dairy farms in the State of Wisconsin taking into account dairy farms’ heterogeneity. To do so, we first estimate a production frontier and the level of TE using the SPF framework. Then we analyze the determinants of TI using a quantile regression analysis. The results indicate that the determinants of TE affect in very specific ways farmers with different levels of TE. This result confirms our hypothesis on the importance of controlling for farm heterogeneity when analyzing the determinants of TE. This issue is also important from an empirical point of view. Policy makers could improve the effectiveness of their work by targeting specific agricultural services and aid designed for farmers with different level of TE.technical efficiency, dairy, quantile regression, Agribusiness, Agricultural and Food Policy, Marketing, Production Economics, Productivity Analysis,

Consumer Heterogeneity: Does It Affect Policy Responses to the Obesity Epidemic?

The fight against obesity in the U.S. has become a priority area for policy makers due to the additional health risks and health care costs. In developing policy to lower obesity rates, it is important to accurately characterize the impact that exercise, smoking and demographic characteristics have on BMI in order to draft effective policy. This analysis uses data from the Behavioral Risk Factor Surveillance System (BRFS) to evaluate the relationship between behavioral and demographic factors with BMI while explicitly accounting for individual heterogeneity by using a quantile analysis. Results suggest that the effect of exercise, smoking, occupation and race vary by BMI quantile, indicating that consumers should be treated as heterogeneous at least for these factors in obesity policy and related analyses.Obesity, Quantile Regression, Heterogeneity, Policy, Food Consumption/Nutrition/Food Safety, I18,

An Evaluation of the Organic Cotton Marketing Opportunity

The organic cotton market has been growing internationally and presents a potential opportunity for producers. This article evaluates prices and returns for organic cotton production in Texas using a stochastic frontier approach. Organic producers were found to be more profitable relative to conventional production, but the analysis showed that organic producers were relatively less technically efficient

Analyzing the Determinants of Technical Efficiency Among Traditional Dairy Farms in Wisconsin: A Quantile Regression Approach

This study analyzes the determinants of TE among traditional dairy farms in the State of Wisconsin taking into account dairy farms’ heterogeneity. To do so, we first estimate a production frontier and the level of TE using the SPF framework. Then we analyze the determinants of TI using a quantile regression analysis. The results indicate that the determinants of TE affect in very specific ways farmers with different levels of TE. This result confirms our hypothesis on the importance of controlling for farm heterogeneity when analyzing the determinants of TE. This issue is also important from an empirical point of view. Policy makers could improve the effectiveness of their work by targeting specific agricultural services and aid designed for farmers with different level of TE

Consumer Heterogeneity: Does It Affect Policy Responses to the Obesity Epidemic?

The fight against obesity in the U.S. has become a priority area for policy makers due to the additional health risks and health care costs. In developing policy to lower obesity rates, it is important to accurately characterize the impact that exercise, smoking and demographic characteristics have on BMI in order to draft effective policy. This analysis uses data from the Behavioral Risk Factor Surveillance System (BRFS) to evaluate the relationship between behavioral and demographic factors with BMI while explicitly accounting for individual heterogeneity by using a quantile analysis. Results suggest that the effect of exercise, smoking, occupation and race vary by BMI quantile, indicating that consumers should be treated as heterogeneous at least for these factors in obesity policy and related analyses