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Corruption and the Shadow Economy: An Empirical Analysis

Authors: Axel Dreher; Friedrich G. Schneider;

Corruption and the Shadow Economy: An Empirical Analysis

Abstract

This paper analyzes the influence of the shadow economy on corruption and vice versa. We hypothesize that corruption and the shadow economy are substitutes in high income countries while they are complements in low income countries. The hypotheses are tested for a cross-section of 98 countries. Our results show that there is no robust relationship between corruption and the size of the shadow economy when perceptions-based indices of corruption are used. Employing an index of corruption based on a structural model, however, corruption and the shadow economy are complements in countries with low income, but not in high income countries.

Country
Germany
Keywords

Economics and Econometrics, Korruption, Schattenwirtschaft, Sociology and Political Science, Welt, Corruption, Shadow Economy, Regulation, Tax Burden, corruption, H26, O5, Regulierung, corruption; shadow economy; regulation; tax burden, Tax Burden, D73, corruption, shadow economy, regulation, tax burden, ddc:330, O17, regulation, tax burden, Corruption; Shadow Economy; Regulation; Tax Burden, Corruption, shadow economy, Steuerbelastung, Shadow Economy, Regulation, Schätzung, jel: jel:O5, jel: jel:H26, jel: jel:D73, jel: jel:O17

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    378
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
378
Top 0.1%
Top 1%
Top 10%
Green
hybrid