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Some million thresholds: Nonlinearity and cross-country growth regressions

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This paper examines the robustness of the determinants of economic growth in cross-country regressions allowing for nonlinearity in the specification of the data generating process. The nonlinearity is modelled as regime-dependent parameter heterogeneity, where the regime is determined by the level of the explanatory variable whose robustness we aim to measure. Using a generalization of the procedure in Sala-i-Martin (American Economic Review, 1998´7), strong evidence of nonlinearity is found for practically all of the variables that are robustly correlated to growth in the linear setting, including those variables which are usually included in most cross-county growth regressions.

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File URL: http://homepage.univie.ac.at/Papers.Econ/RePEc/vie/viennp/vie0210.pdf
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Paper provided by University of Vienna, Department of Economics in its series Vienna Economics Papers with number 0210.

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Date of creation: Oct 2002
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Handle: RePEc:vie:viennp:0210

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Web page: http://www.univie.ac.at/vwl

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Cited by:
  1. Doppelhofer, G. & Cuaresma, J.C., 2007. "Nonlinearities in Cross-Country Growth Regressions: A Bayesian Averaging of Thresholds (BAT) Approach," Cambridge Working Papers in Economics 0706, Faculty of Economics, University of Cambridge.
  2. Jesús Crespo Cuaresma & Maria Antoinette Silgoner, 2004. "Groth effects of inflation in Europe: How low is too low, how high is too high?," Vienna Economics Papers 0411, University of Vienna, Department of Economics.

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