The effect of globalization on capital taxation: What have we learned after 20years of empirical studies?

Adam, Antonis; Kammas, Pantelis; Lagou, Athina

doi:10.1016/j.jmacro.2012.09.003

Cited by 47 publications

(55 citation statements)

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“…Nevertheless, in spite of its widely recognised importance, there are currently no large-scale surveys of statistical power in empirical economics nor a careful quantification of the consequences of ignoring power. 3 Prior studies discuss power or bias only for leading economics journals (De Long and Lang, 1992;McCloskey and Ziliak, 1996), or where a wider range of journals is surveyed, only bias is considered . In order to validate the claims of the lack of credibility of economics and to quantify the likely magnitude of bias, it is necessary to investigate the broader evidence base more rigorously.…”

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confidence: 99%

The Power of Bias in Economics Research

Ioannidis

Stanley

Doucouliagos

2017

The Economic Journal

512

479

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We investigate two critical dimensions of the credibility of empirical economics research: statistical power and bias. We survey 159 empirical economics literatures that draw upon 64,076 estimates of economic parameters reported in more than 6,700 empirical studies. Half of the research areas have nearly 90% of their results under‐powered. The median statistical power is 18%, or less. A simple weighted average of those reported results that are adequately powered (power ≥ 80%) reveals that nearly 80% of the reported effects in these empirical economics literatures are exaggerated; typically, by a factor of two and with one‐third inflated by a factor of four or more.

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confidence: 99%

The Power of Bias in Economics Research

Ioannidis

Stanley

Doucouliagos

2017

The Economic Journal

512

479

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“…The negative coefficient of Gini_Texas on Labor Tax Rate (see columns (5) to (8)) highlights the negative effect of increased income inequality on the tax burden fallen on labor whereas the negative coefficient Gini_Texas on Ratio labor to capital tax (see columns (9) to 13 For an excellent survey on international tax competition literature see Leibrecht and Hochgatterer (2012) and for a meta-analysis of the relevant empirical studies see Adam et al (2013).…”

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confidence: 99%

Income inequality and the tax structure: Evidence from developed and developing countries

Adam

Kammas

Λαπατίνας

2015

Journal of Comparative Economics

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This paper seeks to examine the effect of income inequality on the structure of tax policies. We first use a simplified theoretical framework which allows us to formalize the testable implications of the relevant literature. Subsequently, our analysis indicates that more unequal economies rely heavier on capital relative to labor income taxation. This relationship remains robust across various alternative measures of income inequality and most importantly through alternative political regimes. In addition, our analysis places the spotlight on the potential reverse causality between income inequality and structure of the tax policies and seeks to address it by making use of the most appropriate data and techniques. JEL: H10, H23, H26

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“…This technique is also applied in other meta‐regression analyses (e.g. Görg and Strobl, ; Card et al ., ; Efendic et al ., ; Adam et al ., ).…”

Section: Methodsmentioning

confidence: 97%

R&D INTENSITY AND THE EFFECTIVE TAX RATE: A META‐REGRESSION ANALYSIS

Belz

Hagen

Steffens

2016

Journal of Economic Surveys

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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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The effect of globalization on capital taxation: What have we learned after 20years of empirical studies?

Cited by 47 publications

References 50 publications

The Power of Bias in Economics Research

The Power of Bias in Economics Research

Income inequality and the tax structure: Evidence from developed and developing countries

R&D INTENSITY AND THE EFFECTIVE TAX RATE: A META‐REGRESSION ANALYSIS

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