IDEAS home Printed from https://ideas.repec.org/p/bdp/dpaper/0017.html
   My bibliography  Save this paper

The irrelevance of fee structures for certification

Author

Listed:
  • Martin Pollrich
  • Roland Strausz

Abstract

In models of certification possible restrictions on the nature of the fee structures are commonly analyzed. We show that they are irrelevant for the certifier’s ability to maximize profits and trade efficiency. Our results establish that certification schemes involve two substitutable dimensions—the fee structure and the disclosure rule. In the context of a canonical unit good certification setup, these dimensions act as perfect substitutes for achieving trade efficiency and (monotone) distributions of rents; adjustments in the disclosure dimension can fully mitigate restrictions in the fee dimension, but these changes do affect market transparency.

Suggested Citation

  • Martin Pollrich & Roland Strausz, 2023. "The irrelevance of fee structures for certification," Berlin School of Economics Discussion Papers 0017, Berlin School of Economics.
  • Handle: RePEc:bdp:dpaper:0017
    DOI: 10.48462/opus4-4972
    as

    Download full text from publisher

    File URL: https://opus4.kobv.de/opus4-hsog/files/4972/BSE_DP_0017.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.48462/opus4-4972?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mathis, Jérôme & McAndrews, James & Rochet, Jean-Charles, 2009. "Rating the raters: Are reputation concerns powerful enough to discipline rating agencies?," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 657-674, July.
    2. Navin Kartik & Weijie Zhong, 2023. "Lemonade from Lemons: Information Design and Adverse Selection," Papers 2305.02994, arXiv.org.
    3. Skreta, Vasiliki & Veldkamp, Laura, 2009. "Ratings shopping and asset complexity: A theory of ratings inflation," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 678-695, July.
    4. Ozerturk, Saltuk, 2014. "Upfront versus rating contingent fees: Implications for rating quality," Finance Research Letters, Elsevier, vol. 11(2), pages 91-103.
    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. Matthieu Bouvard & Raphaël Levy, 2018. "Two-Sided Reputation in Certification Markets," Management Science, INFORMS, vol. 64(10), pages 4755-4774, October.
    2. Kittiphod Charoontham & Thunyarat Amornpetchkul, 2023. "Compensation reform analysis on inflated credit rating attenuation," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 627-645, September.
    3. Kempf, Elisabeth, 2017. "The Job Rating Game: The Effects of Revolving Doors on Analyst Incentives," Working Papers 258, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Gwion Williams & Rasha Alsakka & Owain ap Gwilym, 2013. "The Impact of Sovereign Credit Signals on Bank Share Prices during the European Sovereign Debt Crisis," Working Papers 13007, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    5. Cornaggia, Jess & Cornaggia, Kimberly J. & Xia, Han, 2016. "Revolving doors on Wall Street," Journal of Financial Economics, Elsevier, vol. 120(2), pages 400-419.
    6. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    7. Harold Cole & Thomas F. Cooley, 2013. "Rating Agencies," Working Papers 2013-31, Economic Research Institute, Bank of Korea.
    8. Ozerturk, Saltuk, 2014. "Ratings as regulatory stamps," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 17-29.
    9. Anil K. Kashyap & Natalia Kovrijnykh, 2016. "Who Should Pay for Credit Ratings and How?," The Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 420-456.
    10. Keser, Claudia & Özgümüs, Asri & Peterlé, Emmanuel & Schmidt, Martin, 2017. "An experimental investigation of rating-market regulation," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 78-86.
    11. Ashcraft, A. & Goldsmith-Pinkham, P. & Vickery, J., 2010. "MBS Ratings and the Mortgage Credit Boom," Other publications TiSEM aea4b6fb-eb57-49d4-a347-f, Tilburg University, School of Economics and Management.
    12. Marco Pagano & Paolo Volpin, 2010. "Credit ratings failures and policy options [Cash-in-the-market pricing and optimal resolution of bank failures]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 401-431.
    13. Matthias Efing, 2012. "Bank Capital Regulation with an Opportunistic Rating Agency," Swiss Finance Institute Research Paper Series 12-19, Swiss Finance Institute.
    14. Xia, Han, 2014. "Can investor-paid credit rating agencies improve the information quality of issuer-paid rating agencies?," Journal of Financial Economics, Elsevier, vol. 111(2), pages 450-468.
    15. Hoppe-Wewetzer, Heidrun C. & Siemering, Christian, 2020. "Advertisement-Financed Credit Ratings," CEPR Discussion Papers 14735, C.E.P.R. Discussion Papers.
    16. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.
    17. Bo Becker & Marcus Opp, 2013. "Regulatory reform and risk-taking: replacing ratings," NBER Working Papers 19257, National Bureau of Economic Research, Inc.
    18. repec:uts:finphd:36 is not listed on IDEAS
    19. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    20. Heski Bar-Isaac & Joel Shapiro, 2011. "Credit Ratings Accuracy and Analyst Incentives," American Economic Review, American Economic Association, vol. 101(3), pages 120-124, May.
    21. Harold Cole & Thomas Cooley, 2023. "Information Acquisition and Rating Agencies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 28-42, October.

    More about this item

    Keywords

    certification; fee structures; disclosure rules; transparency;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bdp:dpaper:0017. 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: Christian Reiter (email available below). General contact details of provider: https://edirc.repec.org/data/bdpemde.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.