Determinants and Size of the Shadow Economy - A Structural Equation Model
AbstractThe main objective of this paper is to analyze the determinants of the shadow economy within a coherent Structural Equation Model using a data set of 11 latent variables with 58 indicators from 35 countries. The shadow economy is closely connected to its determinants; a higher wealth and development level, a better administrative system, lower taxes and social security payments and the extent of labor market regulations determine the level of shadow economy. Germany ranks 16th of 35 countries by shadow economy, with a score of 3.6, with the best being New Zealand, 1.0, and the worst Romania, 10.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal International Economic Journal.
Volume (Year): 24 (2010)
Issue (Month): 4 ()
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Web page: http://www.tandfonline.com/RIEJ20
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ulrich Thießen, 2010.
"The Shadow Economy in International Comparison: Options for Economic Policy Derived from an OECD Panel Analysis,"
Discussion Papers of DIW Berlin
1031, DIW Berlin, German Institute for Economic Research.
- Ulrich Thiessen, 2010. "The Shadow Economy in International Comparison: Options for Economic Policy Derived from an OECD Panel Analysis," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 481-509.
- Friedrich Schneider & Christopher Bajada, 2003. "The Size and Development of the Shadow Economies in the Asia-Pacific," Economics working papers 2003-01, Department of Economics, Johannes Kepler University Linz, Austria.
- Quintano, Claudio & Mazzocchi, Paolo, 2013. "The shadow economy beyond European public governance," Economic Systems, Elsevier, vol. 37(4), pages 650-670.
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