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Facilitating the Search for Partners on Matching Platforms: Restricting Agents' Actions

71 Pages Posted: 22 Jul 2017  

Yash Kanoria

Columbia Business School - Decision Risk and Operations

Daniela Saban

Stanford Graduate School of Business

Date Written: July 5, 2017

Abstract

Two-sided matching platforms, such as those for labor, accommodation, dating, and taxi hailing, can control and optimize over many aspects of the search for partners. To understand how the search for partners should be designed, we consider a dynamic two-sided search model with strategic agents who must spend a cost to discover their value for each potential partner. We find that in many settings, the platform can mitigate wasteful search effort by restricting what agents can see/do. Surprisingly, simple restrictions can improve social welfare even when screening costs are small, and agents on each side are ex-ante homogeneous. In asymmetric markets where agents on one side have a tendency to be more selective (due to smaller screening costs or greater market power), the platform should force the more selective side of the market to reach out first, by explicitly disallowing the less selective side from doing so. This allows the agents on the less selective side to exercise more choice in equilibrium. When agents are vertically differentiated, the platform can significantly improve welfare even in the limit of vanishing screening costs, by forcing one side of the market to propose and by hiding quality information. Furthermore, a Pareto improvement in welfare is possible in this limit.

Keywords: Matching Markets, Market Design, Search Frictions, Stationary Equilibrium, Sharing Economy, Platforms

JEL Classification: D47, D83, L86

Suggested Citation

Kanoria, Yash and Saban, Daniela, Facilitating the Search for Partners on Matching Platforms: Restricting Agents' Actions (July 5, 2017). Stanford University Graduate School of Business Research Paper No. 17-53; Columbia Business School Research Paper No. 17-74. Available at SSRN: https://ssrn.com/abstract=3004814

Yash Kanoria (Contact Author)

Columbia Business School - Decision Risk and Operations ( email )

New York, NY
United States

Daniela Saban

Stanford Graduate School of Business ( email )

655 Knight Way
Stanford, CA 94305-5015
United States

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