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Resource Allocation with Midterm Review

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  • Yijun Liu

Abstract

A principal funds an agent's project over two periods, with a midterm review providing a public signal about project quality. The agent privately knows the project's quality and always prefers more funding, while the principal wants to match funding to quality. A natural benchmark uses the review only after it arrives, to update beliefs and improve the second-period allocation. The optimal mechanism instead frontloads the review's information value: it also uses the review as an incentive device to elicit truthful reporting up front, thereby strictly improving the principal's first-period expected payoff. In the optimal mechanism, higher-quality projects receive more funding initially but face larger cuts after a bad review, leaving them with less funding than lower-quality projects. A good review increases funding, but the resulting allocation need not preserve the initial ranking of projects and eventually declines with quality.

Suggested Citation

  • Yijun Liu, 2026. "Resource Allocation with Midterm Review," Papers 2610.15786, arXiv.org.
  • Handle: RePEc:arx:papers:2610.15786
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    File URL: https://arxiv.org/pdf/2610.15786
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    References listed on IDEAS

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    1. Manuel Amador & Kyle Bagwell, 2013. "The Theory of Optimal Delegation With an Application to Tariff Caps," Econometrica, Econometric Society, vol. 81(4), pages 1541-1599, July.
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    Cited by:

    1. Doruk Cetemen & Yonggyun Kim & Fei Li & Curtis R. Taylor, 2026. "Midterm Review," Papers 2609.07871, arXiv.org.

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