Adam, Brian D.

By: Su, Lianfan; Adam, Brian D.; Lusk, Jayson L.; Arthur, Frank
This study uses an experimental auction and a discrete choice experiment to determine consumers’ willingness to pay (WTP) for rice with improved insect control and for rice stored using Integrated Pest Management and investigates potential reasons—anchoring and information—why some studies have found inconsistencies between the two methods. Results indicate that WTP estimates from the choice experiment are lower than consumers’ average auction bids. Anchoring in the choice experiment appears to be an explanation for the discrepancy. Providing consumers with additional information about the products improved choice experiment results, producing consistent preference ordering and increasing WTP estimates.
By: Adam, Brian D.; Kenkel, Philip L.; Anderson, Kim B.
Buyer complaints about poor quality U.S. wheat have led to proposals to enforce minimum dockage standards for exports. An economic-engineering approach is used to evaluate costs and benefits of cleaning wheat in order to meet these standards for 13 possible cleaning configurations. These results are used in an optimization framework to estimate costs and benefits of cleaning all U.S. export wheat. The estimates indicate that cleaning U.S. export winter wheat to .35% dockage would cost an average of 1 cent/bu., requiring an initial capital investment of $28 million. Value of wheat lost in cleaning is a significant cost that previously has been overlooked.
By: Garcia, Philip; Adam, Brian D.; Hauser, Robert J.
This study provides additional evidence of the usefulness of mean-variance procedures in the presence of options which can truncate and skew the returns distribution. Using a simulation analysis, price hedging decisions are examined for hog producers when options are available. Mean-variance results are contrasted with optimal decisions based on negative exponential and Cox-Rubinstein utility functions over 56 ending price scenarios and two levels of risk aversion. The findings from our simulation, which considers discrete contracts, basis risk, lognormality in prices, transactions costs, and alternative utility specifications, affirm the usefulness of mean-variance framework.