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Ironing allocations

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  • Filip Tokarski

Abstract

I propose a new approach to solving standard screening problems when the monotonicity constraint binds. A simple geometric argument shows that when virtual values are quasi-concave, the optimal allocation can be found by appropriately truncating the solution to the relaxed problem. I provide a simple algorithm for finding this optimal truncation when virtual values are concave.

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  • Filip Tokarski, 2024. "Ironing allocations," Papers 2402.11881, arXiv.org.
  • Handle: RePEc:arx:papers:2402.11881
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    References listed on IDEAS

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    1. Toikka, Juuso, 2011. "Ironing without control," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2510-2526.
    2. Martin Hellwig, 2008. "A Maximum Principle for Control Problems with Monotonicity Constraints," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_04, Max Planck Institute for Research on Collective Goods.
    3. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
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