The utilization of marketing programs to enhance feeder calf value has been met with modest success in Oklahoma. Value-added programs are continually promoted as avenues for improving cow-calf profitability, but producer adoption of value-added practices lags in spite of research showing the...

Past value-added research employs hedonic pricing models to estimate premiums associated with value-added feeder cattle characteristics. However, hedonic pricing models require restrictive assumptions and impose a functional form. Producers also self-select into a treatment group, potentially...

Using survey data from Oklahoma Cow-Calf producers, a binomial logit model is employed to estimate the probability of non-adoption of specific management or marketing practices based on producers' demographics. Thirteen individual management and marketing practices are examined. Additional logit...

Binary logit regression models were used to estimate factors affecting adoption of recommended management practices. Variables analyzed include aspects of farm structure, human capital, farm objectives, and production system employed by the producer. Results reveal that operation size and...

This study identifies current production and management practices of Oklahoma stocker cattle producers and analyzes factors affecting the adoption of best management practices (BMPs) using chi-square analysis. Results reveal that factors influencing the adoption of BMPs are operation size,...

Using 2008 household data and a two-step censored model, this article analyzes separability among preferences of the major food groups in Mexico. The main objective of the present paper was to determine if beans and potatoes are not separable from meats and cereals, respectively. Results...

Mexico initiated a federal animal identification (ID) system (SINIIGA) in 2003. The program is administered by an agency of the federal Department of Agriculture (SAGARPA) and has been used primarily to support a federal subsidy program for livestock producers. The program is conceptually well...