IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/14361.html
   My bibliography  Save this book chapter

Comment on "Digital Infrastructure"

In: Economic Analysis and Infrastructure Investment

Author

Listed:
  • Catherine Tucker

Abstract

No abstract is available for this item.

Suggested Citation

  • Catherine Tucker, 2020. "Comment on "Digital Infrastructure"," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 448-452, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14361
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c14361.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    2. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    2. Vijay Kamble & Nihar Shah & David Marn & Abhay Parekh & Kannan Ramchandran, 2023. "The Square Root Agreement Rule for Incentivizing Truthful Feedback on Online Platforms," Management Science, INFORMS, vol. 69(1), pages 377-403, January.
    3. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    4. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    5. Keser, Claudia & Späth, Maximilian, 2021. "The value of bad ratings: An experiment on the impact of distortions in reputation systems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    6. Solimine, Philip & Isaac, R. Mark, 2023. "Reputation and market structure in experimental platforms," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 528-559.
    7. Daniel W. Elfenbein & Raymond Fisman & Brian McManus, 2019. "Does Cheap Talk Affect Market Outcomes? Evidence from eBay," American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 305-326, October.
    8. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
    9. Ruohuang Jiao & Wojtek Przepiorka & Vincent Buskens, 2022. "Moderators of reputation effects in peer-to-peer online markets: a meta-analytic model selection approach," Journal of Computational Social Science, Springer, vol. 5(1), pages 1041-1067, May.
    10. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2022. "Reputation Inflation," Marketing Science, INFORMS, vol. 41(4), pages 733-745, July.
    11. Nikhil Garg & Ramesh Johari, 2021. "Designing Informative Rating Systems: Evidence from an Online Labor Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 589-605, May.
    12. Alberto Bracci & Jorn Boehnke & Abeer ElBahrawy & Nicola Perra & Alexander Teytelboym & Andrea Baronchelli, 2021. "Macroscopic properties of buyer-seller networks in online marketplaces," Papers 2112.09065, arXiv.org, revised Apr 2022.
    13. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.
    14. Ayomikun Idowu & Amany Elbanna, 2022. "Digital Platforms of Work and the Crafting of Career Path: The Crowdworkers’ Perspective," Information Systems Frontiers, Springer, vol. 24(2), pages 441-457, April.
    15. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
    16. Alex Wood-Doughty, 2016. "Do Employers Learn from Public, Subjective, Performance Reviews?," Working Papers 16-11, NET Institute.
    17. 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.
    18. Keser, Claudia & Späth, Maximilian, 2020. "The value of bad ratings: An experiment on the impact of distortions in reputation systems," University of Göttingen Working Papers in Economics 389, University of Goettingen, Department of Economics.
    19. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    20. Pradeep K. Chintagunta & Junhong Chu, 2021. "Geography as branding: Descriptive evidence from Taobao," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 53-92, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:14361. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.