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Using a meta-regression analysis, we quantitatively review the empirical literature on the relation between effective tax rate (ETR) and firm size. Accounting literature offers two competing theories on this relation: The political cost theory, suggesting a positive size-ETR relation, and the political power theory, suggesting a negative size-ETR relation. Using a unique data set of 56 studies that do not show a clear tendency towards either of the two theories, we contribute to the discussion on the size-ETR relation in three ways: First, applying meta-regression analysis on a US meta-data set, we provide evidence supporting the political cost theory. Second, our analysis reveals factors that are possible sources of variation and bias in previous empirical studies; these findings can improve future empirical and analytical models. Third, we extend our analysis to a cross-country meta-data set; this extension enables us to investigate explanations for the two competing theories in more detail. We find that Hofstede’s cultural dimensions theory, a transparency index and a corruption index explain variation in the size-ETR relation. Independent of the two theories, we also find that tax planning aspects potentially affect the size-ETR relation. To our knowledge, these explanations have not yet been investigated in our research context.

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.

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