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Cited by 434

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

The Role of Managerial Ability in Corporate Tax Avoidance

Open access
Koester, Allison, Shevlin, Terry, Wangerin, Daniel·2017·Management Science

Abstract

Most prior studies model tax avoidance as a function of firm-level characteristics and do not consider how individual executive characteristics affect tax avoidance. This paper investigates whether executives with superior ability to efficiently manage corporate resources engage in greater tax avoidance. Our results show that moving from the lower to upper quartile of managerial ability is associated with a 3.15% (2.50%) reduction in a firm’s one-year (five-year) cash effective tax rate. We examine how higher-ability managers reduce income tax payments and find that they engage in greater state tax planning activities, shift more income to foreign tax havens, make more research and development credit claims, and make greater investments in assets that generate accelerated depreciation deductions. Identifying a manager characteristic related to firms’ tax policy decisions adds to our understanding of the factors that explain the substantial variation in corporate income tax payments across firms. This paper was accepted by Mary Barth, accounting.

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Metadata

Authors
Koester, A., Shevlin, T., & Wangerin, D.
Venue
Management Science
Published
2017-09
Volume
63
Issue
10
Pages
3285-3310
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2307452965
Cited by
434
References
57
FWCI
78.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Role of Managerial Ability in Corporate Tax Avoidance. https://app.cochat.ai/papers/10.1287/mnsc.2016.2510
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Koester, A., Shevlin, T., & Wangerin, D. (2017). The Role of Managerial Ability in Corporate Tax Avoidance. Management Science. https://doi.org/10.1287/mnsc.2016.2510

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.