The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
Samuel Dooley, John P. Dickerson

TL;DR
This paper introduces a generalized affiliate matching model in labor markets, exploring how firms' preferences over their own affiliates influence stable matchings and proposing a research agenda for centralized matching mechanisms.
Contribution
It extends the classic stable marriage model to include preferences over affiliates' matches, supported by survey data and stability analysis under different definitions.
Findings
Participants prefer their own affiliates in unexpected ways
Different stability definitions lead to different match outcomes
A marketplace example shows varying stability results
Abstract
In many labor markets, workers and firms are connected via affiliative relationships. A management consulting firm wishes to both accept the best new workers but also place its current affiliated workers at strong firms. Similarly, a research university wishes to hire strong job market candidates while also placing its own candidates at strong peer universities. We model this affiliate matching problem in a generalization of the classic stable marriage setting by permitting firms to state preferences over not just which workers to whom they are matched, but also to which firms their affiliated workers are matched. Based on results from a human survey, we find that participants (acting as firms) give preference to their own affiliate workers in surprising ways that violate some assumptions of the classical stable marriage problem. This motivates a nuanced discussion of how stability…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Game Theory and Applications
