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What is Really Good for Long-Term Growth? Lessons from a Binary ClassificationTree (BCT) Approach

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  • Rupa Duttagupta
  • Montfort Mlachila
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    Abstract

    Although the economic growth literature has come a long way since the Solow-Swan model of the fifties, there is still considerable debate on the "real' or "deep" determinants of growth. This paper revisits the question of what is really important for strong long-term growth by using a Binary Classification Tree approach, a nonparametric statistical technique that is not commonly used in the growth literature. A key strength of the method is that it recognizes that a combination of conditions can be instrumental in leading to a particular outcome, in this case strong growth. The paper finds that strong growth is a result of a complex set of interacting factors, rather than a particular set of variables such as institutions or geography, as is often cited in the literature. In particular, geographical luck and a favorable external environment, combined with trade openness and strong human capital are conducive to growth.

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    Bibliographic Info

    Paper provided by International Monetary Fund in its series IMF Working Papers with number 08/263.

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    Length: 27
    Date of creation: 01 Dec 2008
    Date of revision:
    Handle: RePEc:imf:imfwpa:08/263

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    Related research

    Keywords: Economic growth; Trade policy; Human capital; Economic models;

    This paper has been announced in the following NEP Reports:

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    1. Oded Galor, 2004. "From Stagnation to Growth: Unified Growth Theory," GE, Growth, Math methods 0409003, EconWPA.
    2. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    3. Edward E. Leamer, 1982. "Let's Take the Con Out of Econometrics," UCLA Economics Working Papers 239, UCLA Department of Economics.
    4. Atish R. Ghosh & Holger Wolf, 1998. "Thresholds and Context Dependence in Growth," NBER Working Papers 6480, National Bureau of Economic Research, Inc.
    5. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," NBER Working Papers 3120, National Bureau of Economic Research, Inc.
    6. William A. Brock & Steven N.Durlauf, 2000. "Growth Economics and Reality," NBER Working Papers 8041, National Bureau of Economic Research, Inc.
    7. Rodrik, Dani & Subramanian, Arvind & Trebbi, Francesco, 2002. "Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development," CEPR Discussion Papers 3643, C.E.P.R. Discussion Papers.
    8. Kevin D. Hoover & Stephen J. Perez, . "Truth and Robustness in Cross-country Growth Regressions," Department of Economics 01-01, California Davis - Department of Economics.
    9. Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," NBER Working Papers 7750, National Bureau of Economic Research, Inc.
    10. Rupa Duttagupta & Paul Cashin, 2008. "The Anatomy of Banking Crises," IMF Working Papers 08/93, International Monetary Fund.
    11. Easterly, William & Levine, Ross, 1997. "Africa's Growth Tragedy: Policies and Ethnic Divisions," The Quarterly Journal of Economics, MIT Press, vol. 112(4), pages 1203-50, November.
    12. Bleaney, Michael & Nishiyama, Akira, 2002. " Explaining Growth: A Contest between Models," Journal of Economic Growth, Springer, vol. 7(1), pages 43-56, March.
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