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How Often Do Managers Withhold Information?

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  • Marinovic, Ivan

    (Stanford University)

Abstract

We estimate and test a model of voluntary disclosure in which a manager's information set is uncertain (Dye 1985; Jung and Kwon 1988). In this model, a manager makes his disclosure decision to maximize the market price, but sometimes, for exogenous reasons, he cannot or is not willing to disclose. We offer a flexible framework to measure the prevalence of unobservable disclosure frictions and the quality of managers' private information. More broadly, the method can be used to test for voluntary disclosure in datasets featuring an option to withhold. We also develop theory-based tests for detecting whether a firm is reporting strategically. At the firm level, we reject strategic reporting for between 1/3 to 2/3 of the sample of firms. Finally, estimating the model with quarterly management guidance, we document that firms face a disclosure friction between 30% to 46% of the time. Conditional on not facing a friction, firms strategically withhold between 4.3% to 20.7% of the time. To aid policymakers, these estimates predict that the level of voluntary forecasts will increase by 2.6% to 13.5% in a counter-factual world without strategic information withholding.

Suggested Citation

  • Marinovic, Ivan, 2015. "How Often Do Managers Withhold Information?," Research Papers 3377, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3377
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    File URL: http://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/407336
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    Citations

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    Cited by:

    1. Matthew J. Bloomfield, 2021. "The Asymmetric Effect of Reporting Flexibility on Priced Risk," Journal of Accounting Research, Wiley Blackwell, vol. 59(3), pages 867-910, June.
    2. Christian Leuz & Peter D. Wysocki, 2016. "The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 525-622, May.
    3. Ian D. Gow & David F. Larcker & Peter C. Reiss, 2016. "Causal Inference in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 477-523, May.
    4. E. Cheynel & M. Liu-Watts, 2020. "A simple structural estimator of disclosure costs," Review of Accounting Studies, Springer, vol. 25(1), pages 201-245, March.

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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