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Market Design for Priority-Based Assignment with Distributional Objectives

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Provides an axiomatic derivation of reserves-and-quotas choice rules for type-specific seats and shows a particular regular reserves-and-quotas rule uniquely minimizes unjustified baseline priority breaches under four axioms (reserve-respecting, nonwasteful, within-type compatibility, explainable violations ≤ reserved seats). Uses student-proposing Deferred Acceptance as the algorithmic tool and proves that with those regular rules DA minimizes priority violations across assignments; simulations report ~25 blocking pairs for regular vs 101 for an alternative (≈5×).

AI-written summary · about

  1. 0:00Market design with distributional objectives
  2. 6:00Stability isn't always right
  3. 11:18Decentralized school choice violations
  4. 17:06Axiomatic reserve policies
  5. 21:23Regular reserve rule
  6. 26:52Generalizing axioms for multi-school
  7. 30:51Real-world simulation results
  8. 31:33Q&A
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