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Ignorance is Strength: Improving the Performance of Matching Markets by Limiting Information (JOB MARKET PAPER)

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  • Gleb Romanyuk

Abstract

This paper develops a model for studying the problem of information intermediation faced by a platform that connects buyers and sellers. Buyers search for sellers in continuous time and are time-sensitive, while sellers have limited capacity for serving buyers and derive heterogeneous payoffs from being matched with different buyers. The platform controls the information the sellers observe about the buyers before forming a match. I show that full information disclosure is inefficient because of excessive rejections by sellers. When the platform observes the sellers? preferences, there is a simple policy with partial disclosure that restores full efficiency. When seller preferences are unknown to the platform, I characterize the disclosure policy that maximizes the total surplus. In a setting with linear payoffs and a uniform distribution of seller attributes, I find that the optimal policy perfectly reveals low-cost buyers and pools high-cost buyers (upper-coarsening). With this policy, tighter constraints on sellers? capacities or a higher buyer-to-seller ratio requires that less information be disclosed. For a general distribution of seller attributes, I develop an approach to solving the disclosure problem with heterogeneous and forward-looking sellers. I discuss several applications to the design of digital matching platforms.

Suggested Citation

  • Gleb Romanyuk, 2017. "Ignorance is Strength: Improving the Performance of Matching Markets by Limiting Information (JOB MARKET PAPER)," Working Paper 460961, Harvard University OpenScholar.
  • Handle: RePEc:qsh:wpaper:460961
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    File URL: http://scholar.harvard.edu/gromanyuk/node/460961
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    Cited by:

    1. Jayita Chakraborty & Debapratim Pandit & Jianhong Xia & Felix Chan, 2024. "Modeling the decision of ridesourcing drivers to park and wait at trip ends: a comparison between Perth, Australia and Kolkata, India," Transportation, Springer, vol. 51(3), pages 1089-1124, June.
    2. Leon Yang Chu & Zhixi Wan & Dongyuan Zhan, 2018. "Harnessing the Double-edged Sword via Routing: Information Provision on Ride-hailing Platforms," Working Papers 18-04, NET Institute.
    3. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    4. Jun Li & Serguei Netessine, 2020. "Higher Market Thickness Reduces Matching Rate in Online Platforms: Evidence from a Quasiexperiment," Management Science, INFORMS, vol. 66(1), pages 271-289, January.
    5. repec:tiu:tiutis:e611d57c-0172-4fc3-b1f3-9e569776398b is not listed on IDEAS

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