IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v82y2015i3p1074-1118..html
   My bibliography  Save this article

Identifying and Testing Models of Managerial Compensation

Author

Listed:
  • George-Levi Gayle
  • Robert A. Miller

Abstract

This article analyses the identification and empirical content of the pure moral hazard (PMH) and the hybrid moral hazard (HMH) principal–agent models. The PMH model has hidden actions, while the HMH model has hidden information in addition to hidden actions. In both models, agents are risk averse and principals are risk neutral. The article derives the equilibrium restrictions from the optimal contract and uses the restrictions to show that the models have empirical content. For any given risk-aversion parameter, the models' other parameters are non-parametrically point identified. The risk-aversion parameter—and hence the model—are, however, only partially identified. Management's ability to manipulate accounting reports arises endogenously within HMH models, but not in all versions of PMH models. We use our framework to investigate whether shareholders contract with management recognizing that accounting reports are susceptible to manipulation and, therefore, endogenous to the incentives offered to management. The data reject all models in which accounting reports are verifiable. Furthermore, the version of the PMH in which accounting reports can be manipulated is rejected if expected compensation is restricted to be positive.

Suggested Citation

  • George-Levi Gayle & Robert A. Miller, 2015. "Identifying and Testing Models of Managerial Compensation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 1074-1118.
  • Handle: RePEc:oup:restud:v:82:y:2015:i:3:p:1074-1118.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/restud/rdv004
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stephen Terry & Anastasia Zakolyukina & Toni Whited, 2018. "Information Distortion, R&D, and Growth," 2018 Meeting Papers 217, Society for Economic Dynamics.
    2. Taylor, Lucian A., 2013. "CEO wage dynamics: Estimates from a learning model," Journal of Financial Economics, Elsevier, vol. 108(1), pages 79-98.
    3. George-Levi Gayle & Chen Li & Robert A. Miller, 2015. "Was Sarbanes-Oxley Costly? Evidence from Optimal Contracting on CEO Compensation," Working Papers 2015-17, Federal Reserve Bank of St. Louis.
    4. Lamy, Laurent & Patnam, Manasa & Visser, Michael, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Journal of Econometrics, Elsevier, vol. 235(2), pages 1172-1202.
    5. Alex Edmans & Xavier Gabaix, 2016. "Executive Compensation: A Modern Primer," Journal of Economic Literature, American Economic Association, vol. 54(4), pages 1232-1287, December.
    6. Nur Kaynar & Auyon Siddiq, 2023. "Estimating Effects of Incentive Contracts in Online Labor Platforms," Management Science, INFORMS, vol. 69(4), pages 2106-2126, April.
    7. Loyola, Gino & Portilla, Yolanda, 2020. "Managerial compensation as a double-edged sword: Optimal incentives under misreporting," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 994-1017.
    8. Stephen J. Terry & Toni M. Whited & Anastasia A. Zakolyukina, 2020. "Information versus Investment," Working Papers 2020-110, Becker Friedman Institute for Research In Economics.
    9. George-Levi Gayle & Robert A. Miller, 2009. "Has Moral Hazard Become a More Important Factor in Managerial Compensation?," American Economic Review, American Economic Association, vol. 99(5), pages 1740-1769, December.
    10. Braz Camargo & Elena Pastorino & Fabian Lange, 2018. "Earnings Dynamics: the Role of Learning, Human Capital, and Performance Incentives," 2018 Meeting Papers 581, Society for Economic Dynamics.
    11. George‐Levi Gayle & Chen Li & Robert A. Miller, 2022. "Was Sarbanes–Oxley Costly? Evidence from Optimal Contracting on CEO Compensation," Journal of Accounting Research, Wiley Blackwell, vol. 60(4), pages 1189-1234, September.
    12. Gaurab Aryal & Isabelle Perrigne & Quang Vuong, 2011. "Identification of Insurance Models with Multidimensional Screening," ANU Working Papers in Economics and Econometrics 2011-538, Australian National University, College of Business and Economics, School of Economics.
    13. Anastasia A. Zakolyukina, 2018. "How Common Are Intentional GAAP Violations? Estimates from a Dynamic Model," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 5-44, March.
    14. Jean-Louis Bago & Bruce Shearer, 2022. "Risk preferences and contract choices," Experimental Economics, Springer;Economic Science Association, vol. 25(5), pages 1374-1398, November.
    15. Page, T. Beau, 2018. "CEO attributes, compensation, and firm value: Evidence from a structural estimation," Journal of Financial Economics, Elsevier, vol. 128(2), pages 378-401.
    16. George-Levi Gayle & Limor Golan & Robert A. Miller, 2015. "Interlocked Executives and Insider Board Members: An Empirical Analysis," Working Papers 2015-40, Federal Reserve Bank of St. Louis.
    17. Gaurab Aryal & Federico Zincenko, 2014. "Identification and Estimation of Multidimensional Screening," Papers 1411.6250, arXiv.org, revised Mar 2024.

    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:oup:restud:v:82:y:2015:i:3:p:1074-1118.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/restud .

    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.