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The Substitution Metric and the Performance of Clock Auctions

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Design for the U.S. incentive auction treats market clearing as a hard production problem: NP‑complete channel‑assignment (graph‑coloring/SAT with ~600,000 constraints) must be solved many times in real time, so the mechanism uses a greedy rejection/deferred‑acceptance descending clock with bidder‑specific multipliers (population/interference weights) instead of full optimization. Tests with CPLEX and Gurobi show greedy rules hit the optimum in the 90%+ range, avoiding Vickrey pricing instability; a hierarchy/approximate matroid (rho) metric predicts that performance.

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  1. 0:00Introduction
  2. 1:22Background
  3. 3:42Novel Challenges
  4. 5:49Computational Challenges
  5. 7:26Encouraging Participation
  6. 9:32Production Problem
  7. 11:27Market Clearing
  8. 28:27Strategy Proof
  9. 31:20Overbooking
  10. 31:48Auction Performance
  11. 33:04Approximate Materoids
  12. 43:16Challenges
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