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Contracts for acquiring information

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  • Aubrey Clark
  • Giovanni Reggiani

Abstract

This paper studies the provision of incentives for information acquisition. Information is costly for an agent to acquire and unobservable to a principal. We show that any Pareto optimal contract has a decomposition into a fraction of output, a state-dependent transfer, and an optimal distortion. Under this decomposition: 1) the fraction of output paid is increasing in the set of experiments available to the agent, 2) the state-dependent transfer indexes contract payments to account for differences in output between states, 3) the optimal distortion exploits complementarities in the cost of information acquisition: experiment probabilities unalterable via contract payments stuck against liability limits are substituted for, the substitution occurring according to complementarities in the cost of information acquisition, and 4) if and only if the agent's cost of experimentation is mutual information, the optimal distortion takes the form of a decision-dependent transfer.

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  • Aubrey Clark & Giovanni Reggiani, 2021. "Contracts for acquiring information," Papers 2103.03911, arXiv.org.
  • Handle: RePEc:arx:papers:2103.03911
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    References listed on IDEAS

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    Cited by:

    1. Mark Whitmeyer & Kun Zhang, 2022. "Buying Opinions," Papers 2202.05249, arXiv.org, revised Jul 2023.
    2. Harry Pei & Bruno Strulovici, 2021. "Robust Implementation with Costly Information," Papers 2112.06032, arXiv.org.
    3. Weijie Zhong, 2022. "Optimal Dynamic Information Acquisition," Econometrica, Econometric Society, vol. 90(4), pages 1537-1582, July.
    4. Tal Alon & Paul Dutting & Yingkai Li & Inbal Talgam-Cohen, 2022. "Bayesian Analysis of Linear Contracts," Papers 2211.06850, arXiv.org, revised Jul 2023.
    5. Amir Karbassi Yazdi & Yong Tan & Cristi Spulbar & Ramona Birau & Jorge Alfaro, 2022. "An Approach for Supply Chain Management Contract Selection in the Oil and Gas Industry: Combination of Uncertainty and Multi-Criteria Decision-Making Methods," Mathematics, MDPI, vol. 10(18), pages 1-20, September.

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