Stewart, Terry S.

May, 2023

By: Tang, Minfeng; Thompson, Nathanael M.; Boyer, Christopher N.; Olynk Widmar, Nicole J.; Lusk, Jayson L.; Stewart, Terry S.; Lofgren, Donna L.; Minton, Nick
Previous hedonic assessments have largely relied on the assumption that bull buyers have homogeneous demands for bull attributes. However, quality differentiations and heterogeneous demands support the existence of submarkets. This analysis investigates market segments using a finite mixture model and 13 years of bull auction data. Results indicate that valuations of bull attributes vary across implicit buyer segments. Differences in demand may be influenced by a variety of factors, includingÑbut not limited toÑfarm goals, labor availability, and end-use marketing arrangements for calves. Results have important implications for signaling quality cues throughout the industryÕs breeding sectors.

September, 2020

By: Tang, Minfeng ; Thompson, Nathanael ; Boyer, Christopher N. ; Olynk Widmar, Nicole J. ; Stewart, Terry S. ; Lofgren, Donna L. ; Minton, Nick
Past attempts to price bull attributes have relied on static marginal valuations due to cross-sectional data limitations. This analysis investigates whether bull buyersÕ marginal valuations of Angus bull attributes have changed over time using 17 years of bull auction data from Indiana. Results indicate statistically significant time effects on some traits (e.g., ribeye area, percentage intermuscular fat, ribeye-area expected progeny difference [EPD], and maternal-milk EPD). Not all of these effects align with prior expectations. Nonetheless, results have important implications for the beef industry in terms of signaling quality ques and incorporating proven information in the form of EPDs.