Jeffrey Hyde

Papers

Total Citations

112

H-Index

About

Jeffrey Hyde is an agricultural economist whose research has made significant contributions to the economic analysis of dairy farm technology adoption, particularly in the area of automated and robotic milking systems. His most influential work, "Investing in a Robotic Milking System: A Monte Carlo Simulation Analysis" (2002), garnered 70 citations and pioneered the application of stochastic simulation methods to evaluate the financial viability of robotic milking technology for U.S. dairy operations, providing farmers and investors with a rigorous framework for assessing breakeven values under uncertainty. Building on this foundation, Hyde extended his analysis through real options theory in a 2003 study (28 citations), recognizing that the inherent uncertainty surrounding emerging agricultural technologies requires more sophisticated investment decision frameworks than traditional methods allow. His 2007 case study examining Mason Dixon Farms' $6 million robotic milking investment further demonstrated his ability to translate complex economic theory into practical, real-world guidance for farm managers. Collectively, Hyde's work has shaped how agricultural economists and dairy producers evaluate transformative technology investments, offering valuable tools for navigating financial risk in a rapidly evolving industry.