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Pilot CEOs and tax avoidance: evidence from machine learning methods

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  • Long Liu
  • Hongkang Xu
  • Mai Dao
  • Hua Sun

Abstract

Chief executive officers (CEOs) could use tax avoidance to reduce costs and hence increase firm profits. Nevertheless, the reputation of the firm could be harmed. Prior studies find that firms’ tax avoidance is associated with CEOs’ personality traits. We attempt to predict firms’ engagement in tax avoidance using CEOs’ flying hobby measured by the pilot certificate. Using various advanced machine learning methods, we find that CEOs’ hobby of flying airplanes is significantly associated with increased corporate tax avoidance. In particular, we find CEOs with a student, private, or airline transport pilot certificate are more likely to engage in corporate tax avoidance while CEOs with a commercial pilot certificate are less likely to engage in corporate tax avoidance. This study advances prior literature and helps investors, regulators, and policymakers to predict firms’ tax avoidance strategies using executives’ hobby.

Suggested Citation

  • Long Liu & Hongkang Xu & Mai Dao & Hua Sun, 2023. "Pilot CEOs and tax avoidance: evidence from machine learning methods," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 30(1), pages 14-29, January.
  • Handle: RePEc:taf:raaexx:v:30:y:2023:i:1:p:14-29
    DOI: 10.1080/16081625.2021.1908154
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    Cited by:

    1. Ming-Hua Liu & Shaohua Tian & Yang Zhang, 2023. "CEO marital status and corporate tax planning behavior," Review of Quantitative Finance and Accounting, Springer, vol. 61(4), pages 1207-1242, November.

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