演講者簡介 : Professor Gunhaeng Lee received his PhD from Penn State University in 2018. He is an Assistant Research Fellow at IEAS. His research fields are Microeconomics Theory and Industrial Organization.
演講摘要 : This paper analyzes the matching of agents with private information that they can disclose to others. They do this via discriminatory signals, namely evidence, based on which the matching outcome is formed. For one-dimensional characteristics, I demonstrate that the quasi-supermodularity of the match value of a matching pair’s characteristics is a necessary and sufficient condition for implementing a positive assortative matching. I also discuss the domain under which positive assortative matching arises as a unique outcome in the market. Generalizing these results, for the matchings of multi-dimensional characteristics, I provide a necessary and sufficient condition for a given matching to be implementable and stable. This finding has multiple implications, such as when 1) implementing the unique and socially optimal matching of the quadratic-Gaussian model; 2) implementing a multi-dimensional positive assortative matching; and 3) considering more aspects (dimensions) of characteristics in matching.
Note: The paper has two parts: single-dimensional matching (with more theoretical focus) and multi-dimensional matching (with less theory here and more emphasis on future applications). In the talk, Prof. Lee will focus on the multi-dimensional matching part and discuss the possible extensions (that we can take the proposed theory to data) of the model.
