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R&D INTENSITY AND THE EFFECTIVE TAX RATE: A META-REGRESSION ANALYSIS
Authors:Thomas Belz  Dominik von Hagen  Christian Steffens
Institution:Business School, University of Mannheim
Abstract:We apply meta-regression techniques to provide a quantitative review of the empirical literature on how research and development (R&D) expenses affect the effective tax rate (ETR). R&D expenses relate to a well-accepted profit shifting channel, strategic placement of intellectual property within a multinational entity. Using a unique hand-collected data set, we add a new perspective to the current base erosion and profit shifting (BEPS) state of research and debate, in three ways: First, observing that primary studies report mixed evidence on how R&D expenses affect ETR, we provide a consensus estimate for this effect. Second, we consider this effect in more detail by separating a tax accounting effect and a profit shifting effect, which to our knowledge has not yet been investigated. We detect that one-third of the R&D effect on the ETR is due to the tax accounting effect and could be mitigated via book-tax conformity. We further find that 10% of the profit shifting effect can be traced back to R&D tax credits. Third, our meta-regression reveals factors that are possible sources of variation and bias in previous empirical studies.
Keywords:Effective tax rate  Intangible assets  Meta-regression analysis  Profit shifting  R&D intensity  Tax accounting
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