48 Pages Posted: 6 Dec 2014 Last revised: 7 Aug 2017
Date Written: June 27, 2017
Can common empirical tests reliably identify tax avoidance? This is an important question because our understanding of the determinants of tax avoidance largely depends on results generated using such tests. We address this question by using a controlled environment to examine the effectiveness of empirical tests that use effective tax rates (ETR) and book-tax differences (BTD) as tax avoidance proxies. We seed Compustat data with three tax avoidance strategies and examine how reliably empirical tests identify this incremental simulated tax avoidance, all else equal. We find that power varies with the proxy and the type of tax avoidance. Thus, we offer guidance to researchers in matching specific types of tax avoidance with the most powerful proxy to detect it. We further offer evidence on how research design choices affect power. Results suggest researchers can increase power by eliminating observations with both negative pre-tax book income and negative tax expense, and by using robust regression to address data outliers. In contrast, power is impaired when truncating ETR proxies and when using Execucomp data. We also provide evidence that tests have less power to detect tax avoidance when multi-year ETR proxies are used.
Keywords: tax avoidance, skewness bias, effective tax rate, book-tax difference
JEL Classification: C150, H25, H26, M41
Suggested Citation: Suggested Citation
De Simone, Lisa and Nickerson, Jordan and Seidman, Jeri K. and Stomberg, Bridget, How Reliably Do Empirical Tests Identify Tax Avoidance? (June 27, 2017). Rock Center for Corporate Governance at Stanford University Working Paper No. 200; Stanford University Graduate School of Business Research Paper No. 15-5. Available at SSRN: https://ssrn.com/abstract=2534058 or http://dx.doi.org/10.2139/ssrn.2534058