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Taxation, Economic Growth and Political Stability

  • Aviral Tiwari


The study analyzed the effect of Political Stability (PS) and Economic Growth (GDP) on Tax and used Freedom of Corruption (FC) and Government Effectiveness (GE) as control variables. Study used unbalanced (includes 98 countries) as well as balanced (includes 57 countries) data for the period 2002–2008. Study found that all variables are non-normal. Further, it is found that PS affects tax in lower quantiles and somewhat higher quantiles but not in highest and intermediate quantiles. GE affects taxes in all quantiles but not in the highest level and value of the coefficient is also found to decreasing with the higher quantiles. Effect of GDP on tax is negative in all quantiles. Importantly, FC is found to be having negative effect at lower level of quantiles and positive at higher level of quantiles with increasing the coefficient value as quantiles increases. Copyright CEEUN 2013

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Article provided by Springer in its journal Transition Studies Review.

Volume (Year): 20 (2013)
Issue (Month): 1 (April)
Pages: 49-61

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Handle: RePEc:spr:trstrv:v:20:y:2013:i:1:p:49-61
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  1. Bohn, Frank, 2003. "Public Finance under Political Instability and Debt Conditionality," Royal Economic Society Annual Conference 2003 25, Royal Economic Society.
  2. Marina Azzimonti, 2009. "Barriers to investment in polarized societies," 2009 Meeting Papers 1233, Society for Economic Dynamics.
  3. Joshua Aizenman & Yothin Jinjarak, 2008. "The collection efficiency of the Value Added Tax: Theory and international evidence," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 391-410.
  4. Cukierman, Alex & Edwards, Sebastian & Tabellini, Guido, 1992. "Seigniorage and Political Instability," American Economic Review, American Economic Association, vol. 82(3), pages 537-55, June.
  5. Alex Coad & Rekha Rao, 2006. "Innovation and market value: a quantile regression analysis," Economics Bulletin, AccessEcon, vol. 15(13), pages 1-10.
  6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, October.
  7. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
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