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The Effect of Public Debt on Growth in Multiple Regimes

Listed author(s):
  • Andros Kourtellos

    ()

    (University of Cyprus, Cyprus)

  • Thanasis Stengos

    ()

    (University of Guelph, Canada)

  • Chih Ming Tan

    ()

    (Clark University, USA)

We employ a structural threshold regression methodology to investigate the heterogeneous effects of debt on growth using public debt as a threshold variable as well as several other plausible variables. Our methodology allows us to address three sources of model uncertainty that characterize cross-country growth data: parameter heterogeneity, theory uncertainty, and endogeneity. We find strong evidence for threshold effects based on democracy, which implies that higher public debt results in lower growth for countries in the Low-Democracy regime. Our results are consistent with the presence of parameter heterogeneity in the cross-country growth process due to fundamental determinants of economic growth proposed by the new growth theories.

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Paper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 60_12.

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Date of creation: Aug 2012
Handle: RePEc:rim:rimwps:60_12
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  1. Papageorgiou, Chris, 2002. "Trade as a threshold variable for multiple regimes," Economics Letters, Elsevier, vol. 77(1), pages 85-91, September.
  2. Kourtellos, Andros & Stengos, Thanasis & Tan, Chih Ming, 2016. "Structural Threshold Regression," Econometric Theory, Cambridge University Press, vol. 32(04), pages 827-860, August.
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  10. Chih Ming Tan, 2010. "No one true path: uncovering the interplay between geography, institutions, and fractionalization in economic development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1100-1127, November/.
  11. Andreas Savvides & Theofanis P. Mamuneas & Thanasis Stengos, 2006. "Economic development and the return to human capital: a smooth coefficient semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 111-132.
  12. Panizza, Ugo & Presbitero, Andrea F., 2014. "Public debt and economic growth: Is there a causal effect?," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 21-41.
  13. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
  14. Atish R. Ghosh & Jun I. Kim & Enrique G. Mendoza & Jonathan D. Ostry & Mahvash S. Qureshi, 2013. "Fiscal Fatigue, Fiscal Space and Debt Sustainability in Advanced Economies," Economic Journal, Royal Economic Society, vol. 0, pages 4-30, 02.
  15. Eicher, Theo S. & Papageorgiou, Chris & Roehn, Oliver, 2007. "Unraveling the fortunes of the fortunate: An Iterative Bayesian Model Averaging (IBMA) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 494-514, September.
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  18. Stephen Cecchetti & Madhusudan Mohanty & Fabrizio Zampolli, 2011. "The real effects of debt," BIS Working Papers 352, Bank for International Settlements.
  19. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
  20. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
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  23. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
  24. Ugo Panizza & Andrea F. Presbitero, 2013. "Public Debt and Economic Growth in Advanced Economies: A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(II), pages 175-204, June.
  25. Alexandru Minea & Antoine Parent, 2012. "Is High Public Debt Always Harmful to Economic Growth? Reinhart and Rogoff and some complex nonlinearities," Working Papers 12-08, Association Française de Cliométrie (AFC).
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