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A non-linear sensitivity analysis of cross-country growth regressions

Author

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  • Pantelis Kalaitzidakis
  • Theofanis P. Mamuneas
  • Thanasis Stengos

Abstract

We extend the sensitivity analysis of cross-country growth regressions of Levine and Renelt (1992) by introducing a semi-parametric formulation of their regression function. Our results differ from theirs in how certain policy variables affect growth rates. We find that distortion variables, such as the standard deviation of gross domestic credit and inflation and real exchange rate distortions, have a robust negative effect on growth.

Suggested Citation

  • Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2000. "A non-linear sensitivity analysis of cross-country growth regressions," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 604-617, August.
    • Handle: RePEc:cje:issued:v:33:y:2000:i:3:p:604-617
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    Cited by:

    1. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    2. Rodríguez, Francisco & Shelton, Cameron A., 2013. "Cleaning up the kitchen sink: Specification tests and average derivative estimators for growth econometrics," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 260-273.
    3. Panos Pashardes & Soteroula Hajispyrou, 2002. "Consumer Demand and Welfare under Increasing Block Pricing," University of Cyprus Working Papers in Economics 0207, University of Cyprus Department of Economics.
    4. Julia Korosteleva & Colin Lawson, 2010. "The Belarusian case of transition: whither financial repression?," Post-Communist Economies, Taylor & Francis Journals, vol. 22(1), pages 33-53.
    5. Andrea F Presbitero, 2012. "Total Public Debt and Growth in Developing Countries," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 24(4), pages 606-626, September.
    6. Rosa Capolupo, 2005. "THE NEW GROWTH THEORIES AND THEIR EMPIRICS, Discussion Paper in Economics, University of Glasgow, N. 2005-04 (http://www.gla.ac.uk/Acad/Economics," GE, Growth, Math methods 0506003, University Library of Munich, Germany.
    7. Donal O.Neill, 2005. "The Welfare Implications of Growth Regressions," Economics Department Working Paper Series n1570505, Department of Economics, National University of Ireland - Maynooth.
    8. de Guimarães e Souza, Gustavo José & de Mendonça, Helder Ferreira & de Andrade, Joaquim Pinto, 2016. "Inflation targeting on output growth: A pulse dummy analysis of dynamic macroeconomic panel data," Economic Systems, Elsevier, vol. 40(1), pages 145-169.
    9. Panos Hatzipanayotou & Sajal Lahiri & Michael S. Michael, 2002. "Reforms of Environmental Policies in the Presence of Cross-border Pollution and two Stage Clean Up," University of Cyprus Working Papers in Economics 0203, University of Cyprus Department of Economics.
    10. Rosa Capolupo, "undated". "The New Growth Theoris and their Empirics," Working Papers 2005_4, Business School - Economics, University of Glasgow.
    11. Leonidas Spiliopoulos, 2005. "What determines macroeconomic volatility? A cross-section and panel data study," Macroeconomics 0505026, University Library of Munich, Germany.
    12. Jesus regstdpo-Cuaresma & Neil Foster & Robert Stehrer, 2011. "Determinants of Regional Economic Growth by Quantile," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 809-826.
    13. Cohen-Cole, Ethan B. & Durlauf, Steven N. & Rondina, Giacomo, 2012. "Nonlinearities in growth: From evidence to policy," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 42-58.
    14. Cavusoglu, Nevin, 2012. "LISREL growth model on direct and indirect effects using cross-country data," Economic Modelling, Elsevier, vol. 29(6), pages 2362-2370.
    15. Salimans, Tim, 2012. "Variable selection and functional form uncertainty in cross-country growth regressions," Journal of Econometrics, Elsevier, vol. 171(2), pages 267-280.
    16. Michael Haliassos, 2003. "Stockholding: Recent Lessons from Theory and Computations," Palgrave Macmillan Books, in: Luigi Guiso & Michael Haliassos & Tullio Jappelli (ed.), Stockholding in Europe, chapter 2, pages 30-49, Palgrave Macmillan.
    17. Jenny Minier, 2007. "Nonlinearities and Robustness in Growth Regressions," American Economic Review, American Economic Association, vol. 97(2), pages 388-392, May.
    18. Hanousek, Jan & Hajkova, Dana & Filer, Randall K., 2008. "A rise by any other name? Sensitivity of growth regressions to data source," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 1188-1206, September.
    19. Donal O'Neill & Philippe Van Kerm, 2008. "An Integrated Framework For Analysing Income Convergence," Manchester School, University of Manchester, vol. 76(1), pages 1-20, January.
    20. Adam Fforde, 2005. "Persuasion: Reflections on economics, data, and the 'homogeneity assumption'," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(1), pages 63-91.
    21. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    22. Jan Hanousek & Dana Hajkova & Randall K. Filer, 2004. "The Other Side of the Moon: The Data Problem in Analyzing Growth Determinants," William Davidson Institute Working Papers Series 2004-682, William Davidson Institute at the University of Michigan.
    23. Helder Ferreira de Mendonça & Igor da Silva Veiga, 2017. "The open economy trilemma in Latin America: A three-decade analysis," International Finance, Wiley Blackwell, vol. 20(2), pages 135-154, June.

    More about this item

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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