Year of Publication
Agriculture, Food and Environment
Equine Science and Management
BS in Equine Science & Management and Mathematical Economics
First Capstone/Thesis Advisor
Dr. Robert Coleman
Horses are one of the most uniquely priced commodities. This document provides a solution to an industry-wide weakness of inconsistent pricing and confusion. In the following report, an evaluation of the industry flaw is presented, an econometric approach is described in full, and a solution is proposed using insight gained from a regression analysis. This report uses an econometric approach to determine the impact of hunter jumper horse qualities on internet sale prices. Data is compiled from bigeq.com for seventy-eight horses in the states of Illinois, Indiana, Kentucky, Michigan, and Ohio. A linear regression analysis for twelve variables establishes that a horse’s age, breeding, athleticism, discipline, and import status are statistically significant on the 95% confidence interval. Height, coloring, gender, and show experience are not statistically significant on this interval. This report provides beneficial information to breeders, trainers, buyers, and sellers associated with the hunter jumper sport and hopefully will be used as a reference for similar research in other areas of the equine industry.
Prettyman, Curran A., "The Initial Phases of a Consistent Pricing System that Reflects the Online Sale Value of a Horse" (2014). Lewis Honors College Capstone Collection. 13.