This study examines preferences for cattle traits using mixed logit and latent class models. Choice experiment data from a 2013 mail survey of 1,052 U.S. grass-fed beef producers were used. Preliminary results indicate that producers prefer lower-priced, heavy, black, and easy-to-handle feeders...

Grass-fed beef cost and returns survey data from 2012 were analyzed to measure technical efficiency of GFB farms in the U.S. We found all inputs with expected signs. The average technical efficiency of GFB was 70% and the farms are operating with increasing returns to scale.

This study determines efficiency drivers, scale and technical efficiencies, and other economic performance measures for Southeastern U.S. meat goat farms. We estimate an input distance function (IDF) using stochastic production frontier (SPF) techniques. Empirical Monte Carlo (MC) simulation...

This article examines the rate of adoption of four computerized technologies in U.S. dairy production: an on-farm computer to manage dairy records, accessing the internet for dairy information, computerized milking systems and computerized feed delivery systems. Data from the USDA-Agricultural...

Louisiana farmers were surveyed to determine their adoption of information and record-keeping technologies, including the Internet, Dairy Herd Improvement Association membership, use of financial measures, and frequency of use of computerized records. Factors influencing adoption included having...

A mail survey is used to examine the consistency of alternative risk preference elicitation procedures using five commonly used methods. These elicitation procedures have been used in previous studies to characterise risk preference. Results show little consistency across procedures, supporting...

Costs and returns of pasture-based dairy production are compared with those of conventional production using matching samples. Both whole-farm and dairy enterprise-level estimates are made using the U.S. Department of Agriculture’s Agricultural Resource Management Survey data....