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A Field Study on Matching with Network Externalities

Author

Listed:
  • Mariagiovanna Baccara
  • Ayse Imrohoroglu
  • Alistair Wilson
  • Leeat Yariv

Abstract

We study the effects of network externalities within a protocol for matching faculty to offices in a new building. Using web and survey data on faculty's attributes and choices, we identify the different layers of the social network: institutional affiliation, coauthorships, and friendships. We quantify the effects of network externalities on choices and outcomes, disentangle the layers of the networks, and quantify their relative influence. Finally, we assess the protocol used from a welfare perspective. Our study suggests the importance and feasibility of accounting for network externalities in assignment problems and evaluates techniques that can be employed to this end. (JEL C78, C93, D62, D85, Z13)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mariagiovanna Baccara & Ayse Imrohoroglu & Alistair Wilson & Leeat Yariv, 2009. "A Field Study on Matching with Network Externalities," Working Papers 09-13, New York University, Leonard N. Stern School of Business, Department of Economics.
    • Handle: RePEc:ste:nystbu:09-13
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    8. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
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    10. Bó, Inácio & Hakimov, Rustamdjan, 2022. "The iterative deferred acceptance mechanism," Games and Economic Behavior, Elsevier, vol. 135(C), pages 411-433.
    11. Afacan, Mustafa Oğuz & Hu, Gaoji & Li, Jiangtao, 2024. "Housing markets since Shapley and Scarf," Journal of Mathematical Economics, Elsevier, vol. 111(C).
    12. Linde, Sebastian & Siebert, Ralph B., 2023. "Exploring the incremental merger value from multimarket and technology arguments," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    13. Chunhua Wu, 2015. "Matching Value and Market Design in Online Advertising Networks: An Empirical Analysis," Marketing Science, INFORMS, vol. 34(6), pages 906-921, November.
    14. Maria Gabriella Graziano & Claudia Meo & Nicholas C. Yannelis, 2020. "Shapley and Scarf housing markets with consumption externalities," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(5), pages 1481-1514, September.
    15. Tat Chan & Yijun Chen & Chunhua Wu, 2023. "Collaborate to Compete: An Empirical Matching Game Under Incomplete Information in Rank-Order Tournaments," Marketing Science, INFORMS, vol. 42(5), pages 1004-1026, September.
    16. Wei, Liyuan & Yang, Yupin, 2022. "An empirical investigation of director selection in movie preproduction: A two-sided matching approach," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 888-906.
    17. Juan D Carrillo & Saurabh Singhal, 2011. "Tiered Housing Allocation: an Experimental Analysis," Working Paper 8511, USC Lusk Center for Real Estate.
    18. Chen, Bo, 2021. "Labor market matching with ensuing competitive externalities in large economies," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 12-17.
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    More about this item

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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