Austin Brooksby

Biography

Austin holds a B.S. in Economics from Utah State University, an M.S. in Finance from the University of Utah, and an M.A. in Economics from the University of California, Santa Barbara. His academic and research background spans experimental and behavioral economics, market design, game theory, and algorithmic trading behavior.
 
As an undergraduate researcher at Utah State University, Austin worked with Dr. James Feigenbaum on behavioral macroeconomic modeling and wealth taxation, contributing to published policy papers on immigration and wealth inequality. Also during his time at Utah State University, he authored work on experimental tests of a novel social preference theory with Dr. Lucas Rentschler, Dr. Vernon Smith, Jacob Meyer, and Robbie Spofford. He also served as an Undergraduate Research Fellow at the Center for Growth and Opportunity, where he applied econometric methods to studies on electricity policy and innovation.
 
He later joined the University of Utah’s Lab of Experimental Economics and Finance as a Research Assistant working with Dr. Elena Asparouhova, administering market simulations, analyzing data with Python and R, and supporting experimental design. In addition, he has experience teaching graduate finance courses as a Teaching Assistant,reinforcing his dedication to both research and education in economics and finance.
 
Austin employs behavioral theory and experiments to study how bounded rationality aggregates from individual to group behavior, and the beliefs that individuals hold over the behavior of groups in the presence of institutions such as markets. Another vein of his research uses experiments to study people's underlying models- or causal understandings of the complex world around them- and how these models inform their support for economically important environmental policies. Finally, he also studies human/AI interaction, specifically the determinants of AI-seeking behavior in economics experiments, and what information people seek from AI assistants.