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The Efficiency of a Dynamic Decentralized Two-sided Matching Market

This paper studies a decentralized dynamic matching market by using data from a large ride-sharing platform to estimate a model of search and matching between drivers and passengers. The authors measure the preferences for trips and waiting costs of passengers and drivers. The authors assess whether and to what extent centralized algorithms that require different information sets can improve efficiency, and the authors show that information on agent preferences and search lengths are particularly important for the platform to implement algorithms that increase revenue and the total surplus of drivers and passengers.

09
Feb
2022
Wednesday

Session Chair: Mitsuru IGAMI
Associate Professor of Economics, Yale University

10:00 am
The Efficiency of a Dynamic Decentralized Two-sided Matching Market

Tracy Xiao LIU, Associate Professor, Department of Economics, School of Economics and Management, Tsinghua University

Co-authors:
ZhiXi WAN, Professor, Faculty of Business and Economics, University of Hong Kong
Chenyu YANG, Assistant Professor, Department of Economics, University of Maryland
10:25 am
Discussion
Discussant:
Xiaolan ZHOU, Zijiang Endowed Young Scholar, Faculty of Economics and Management, East China Normal University
10:50 am
Q&A
11:10 am


Updated 6 Jan 2022

Speakers

  • Tracy Xiao LIU

    Tracy Xiao LIU

     

    Associate Professor, Department of Economics, School of Economics and Management, Tsinghua University

    Tracy Xiao Liu graduated with a bachelor's degree at Renmin University of China and earned a PhD in information science at the University of Michigan, Ann Arbor. She has worked at Tsinghua SEM since graduation. Her research interests include experimental economics, behavioral economics, information economics and market design.Liu has published papers in top journals of economics and management such as Management Science, Games and Economic Behavior and the Journal of Development Economics, and at top conference proceedings in computer science including SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) and the International Joint Conference on Artificial Intelligence (IJCAI).

  • Xiaolan ZHOU

    Xiaolan ZHOU

     

    Zijiang Endowed Young Scholar, Faculty of Economics and Management, East China Normal University

    Ying Fan is an associate professor in the Economics Department at the University of Michigan. She got her Ph.D. degree in Economics from Yale University in 2009. She is a member of the National Bureau of Economic Research (NBER) and the Center for Economic and Policy Research (CEPR). Her main research interest is empirical Industrial Organization.

  • Mitsuru IGAMI

    Mitsuru IGAMI

     

    Associate Professor of Economics, Yale University

    Mitsuru Igami studies strategic industry dynamics. He is an associate professor at Yale Department of Economics and serves as a co-editor of the International Journal of Industrial Organization.

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Session Format

Each session lasts for 1 hour 10 minutes (25 minutes for the author, 25 minutes for the discussion and 20 minutes for participants' Q&A). Sessions will be recorded and posted on ABFER's web, except in cases where speakers or discussants request us not to.

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Agenda