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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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    Citations

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    Cited by:

    1. Joseph Kuehn, 2024. "The effect of competition on the demand for skilled labor: Matching with externalities in the NBA," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(3), pages 539-581, August.
    2. Hong, Miho & Park, Jaeok, 2022. "Core and top trading cycles in a market with indivisible goods and externalities," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    3. Yi Li, 2020. "Internet Development and Structural Transformation: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-8.
    4. Fisher, James C.D. & Hafalir, Isa E., 2016. "Matching with aggregate externalities," Mathematical Social Sciences, Elsevier, vol. 81(C), pages 1-7.
    5. Itai Ashlagi & Peng Shi, 2014. "Improving Community Cohesion in School Choice via Correlated-Lottery Implementation," Operations Research, INFORMS, vol. 62(6), pages 1247-1264, December.
    6. Piazza, Adriana & Torres-Martínez, Juan Pablo, 2024. "Coalitional stability in matching problems with externalities and random preferences," Games and Economic Behavior, Elsevier, vol. 143(C), pages 321-339.
    7. Zamudio, César, 2016. "Matching with the stars: How brand personality determines celebrity endorsement contract formation," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 409-427.
    8. Ferrara, Gerardo & Kim, Jun Sung & Koo, Bonsoo & Liu, Zijun, 2021. "Counterparty choice in the UK credit default swap market: An empirical matching approach," Economic Modelling, Elsevier, vol. 94(C), pages 58-74.
    9. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Denisa Mindruta & Mahka Moeen & Rajshree Agarwal, 2016. "A two-sided matching approach for partner selection and assessing complementarities in partners' attributes in inter-firm alliances," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 206-231, January.
    10. Afacan, Mustafa Oğuz & Hu, Gaoji & Li, Jiangtao, 2024. "Housing markets since Shapley and Scarf," Journal of Mathematical Economics, Elsevier, vol. 111(C).
    11. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    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. Rustamdjan Hakimov & Dorothea Kübler & Siqi Pan, 2023. "Costly information acquisition in centralized matching markets," Quantitative Economics, Econometric Society, vol. 14(4), pages 1447-1490, November.
    17. 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.
    18. Otani, Suguru & Matsuda, Takuma, 2025. "Unified merger list in the container shipping industry from 1966 to 2022: A structural estimation of M&A matching," Transport Policy, Elsevier, vol. 165(C), pages 58-69.
    19. Juan D Carrillo & Saurabh Singhal, 2011. "Tiered Housing Allocation: an Experimental Analysis," Working Paper 8511, USC Lusk Center for Real Estate.
    20. Chen, Bo, 2021. "Labor market matching with ensuing competitive externalities in large economies," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 12-17.
    21. Marta Boczoń & Alistair J. Wilson, 2023. "Goals, Constraints, and Transparently Fair Assignments: A Field Study of Randomization Design in the UEFA Champions League," Management Science, INFORMS, vol. 69(6), pages 3474-3491, June.
    22. Bo Chen, 2019. "Downstream competition and upstream labor market matching," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(4), pages 1055-1085, December.
    23. Suguru Otani & Takuma Matsuda, 2023. "Unified Merger List in the Container Shipping Industry from 1966 to 2022: A Structural Estimation of M&A Matching," Papers 2310.09938, arXiv.org, revised Dec 2024.
    24. Bó, Inácio & Hakimov, Rustamdjan, 2022. "The iterative deferred acceptance mechanism," Games and Economic Behavior, Elsevier, vol. 135(C), pages 411-433.

    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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