
WELCOME TO APPLIED ECONOMICS AND STATISTICS
Applied Economics and Statistics is concerned with food and agribusiness marketing, the economics of environmental and resource management, and statistics.
Applied Economics courses are designed to provide a thorough background in the principles of organization and management of agribusiness firms, and includes study of financing agricultural business firms, marketing and international trade of agricultural products, price analysis, environmental economics, economics of land use, and agricultural and environmental policies.
Our mission is to cultivate learning and develop and share knowledge that benefits society. Our focus is to advance economics and statistics methods and theories, and apply them to various subjects, such as health, agriculture, natural resources, the environment, and data science.
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Latest news
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Economics meets the environment
July 08, 2025 | Written by Nya WynnEmma Aucker, now a senior environmental and resource economics (ENRE) major at UD, knew she wanted to go into a career related to the environment, shaping policy rather than through fieldwork. Now, after being at UD for three years, the program has allowed her to blend her passion for the environment with policy by using the decision-making tools of economics. -
Representing rural America
May 02, 2025 | Written by: Molly Schafer Photos courtesy of Roger GlendenningRoger Glendenning, distinguished alumnus from the University of Delaware College of Agriculture and Natural Resources, served rural America for 36 years at the U.S. Department of Agriculture (USDA). Earlier last month, Glendenning retired from his position as Chief Operating Officer (COO) of the USDA’s Agency of Rural Development. -
Winning with statistics
April 30, 2025 | Written by Nya Wynn Photos by Mikey Reeves and Katie YoungGrowing up in a family with season tickets to University of Delaware football games and three older brothers to look up to, Colin Pié, a sophomore statistics major at UD, was immersed in sports from a young age. Now he analyzes student-athlete performance through work with a UD Athletics internship. -
A game-changing tool
April 15, 2025 | Written by Amy CherryIdentifying vulnerable athletes has always been a mystery, until now. Using AI, University of Delaware researchers, including Wei Qian, associate professor of statistics, have developed a machine learning model that predicts an athlete’s risk of injury after concussion with high accuracy. The model has revealed that individual factors are just as important as the sport played.