Michael Choi

Michael Choi is an Associate Professor of Economics at the University of California, Irvine. His research focuses on markets with frictions such as search, information, and financial frictions, exploring their roles in traditional, online, and over-the-counter asset markets. He applies dynamic programming, optimization theory, and total positivity principles to address topics like optimal monetary policy, online pricing, and asset market policies.

Key research interests include Monetary Economics, Micro Theory, and Search and Matching Theory. His work bridges theoretical models with real-world applications, such as predicting web search behaviors and designing optimal information policies.

Recent articles emphasize inflation-unemployment dynamics, decentralized market mechanisms, and monetary policy channels in retail banking. His methodologies often involve novel technical tools to address complex economic systems.

No scientific awards or grants are explicitly mentioned in the provided materials. His advising and lab/team affiliations are not detailed here.