Date of Award

Spring 5-2024

Document Type


Degree Name

Master of Science (MS)


Behavioral and Computational Economics

First Advisor

Dr. David Porter


One of the objectives of two-sided matching mechanisms is to pair two groups of agents such that there is no incentive for pair deviation. The outcome of a match can significantly impact participants. While much of the existing research in this field addresses the matching with fixed quotas, this is not always applicable. We introduce the concept of slot stability, recognizing the potential motivation for organizations to modify their quotas after the match. We propose an algorithm designed to create stable and slot stable matches by employing flexible, endogenous quotas to address this issue.



Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.



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