Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis

Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.

[1]  Specification and sensitivity analysis of cross-country growth regressions , 2002 .

[2]  M. Steel,et al.  Model uncertainty in cross-country growth regressions , 2001 .

[3]  P. Rousseeuw.  Least Median of Squares Regression , 1984 .

[4]  Arnold J. Stromberg,et al.  Computing the Exact Least Median of Squares Estimate and Stability Diagnostics in Multiple Linear Regression , 1993, SIAM J. Sci. Comput..

[5]  Steven N. Durlauf,et al.  Multiple regimes and cross‐country growth behaviour , 1995 .

[6]  S. Chatterjee.  Sensitivity analysis in linear regression , 1988 .

[7]  J. B. Ramsey,et al.  Tests for Specification Errors in Classical Linear Least‐Squares Regression Analysis , 1969 .

[8]  Clive W. J. Granger,et al.  Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests , 1993 .

[9]  Kevin D. Hoover,et al.  Evaluating Specification Search in Cross-Country Growth Regressions: Extreme Bounds vs. General-to-Specific Methodologies , 2001 .

[10]  P. Rousseeuw.  5 Introduction to positive-breakdown methods , 1997 .

[11]  W. Brock,et al.  Growth empirics and reality , 2001 .

[12]  J. A. Díaz-García,et al.  SENSITIVITY ANALYSIS IN LINEAR REGRESSION , 2022 .

[13]  Jonathan R.W. Temple,et al.  The New Growth Evidence , 1999 .

[14]  P. Rousseeuw.  Multivariate estimation with high breakdown point , 1985 .

[15]  X. Sala-i-Martin,et al.  I Just Ran Four Million Regressions , 1997 .

[16]  D. Ruppert,et al.  Estimation following a Sequentially Designed Experiment , 1990 .

[17]  X. Sala-i-Martin,et al.  Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach , 2000 .

[18]  Allen S. Mandel.  Comment … , 1978, British heart journal.

[19]  J. Temple.  Growth Regressions and What the Textbooks Don't Tell You , 1999 .

[20]  R. Barro.  Inequality and Growth in a Panel of Countries , 2000 .

[21]  Anil K. Bera,et al.  A test for normality of observations and regression residuals , 1987 .

[22]  S. Sheather,et al.  A Cautionary Note on the Method of Least Median Squares , 1992 .

[23]  M. Hubert,et al.  Regression depth - Rejoinder , 1999 .

[24]  H. White.  A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[25]  Danny Quah,et al.  The New Empirics of Economic Growth , 1998 .

[26]  C. Granger,et al.  Modelling Nonlinear Economic Relationships , 1995 .

[27]  Jonathan R.W. Temple,et al.  Robustness Tests of the Augmented Solow Model , 1998 .

[28]  Georg Ch. Pflug,et al.  Mathematical statistics and applications , 1985 .

[29]  R. Barro.  Inequality, Growth, and Investment , 1999 .

[30]  Edward E. Leamer,et al.  Sensitivity Analyses Would Help , 1985 .

[31]  R. Levine,et al.  A Sensitivity Analysis of Cross-Country Growth Regressions , 1991 .

[32]  Edward E. Leamer,et al.  Let's Take the Con Out of Econometrics , 1983 .

[33]  X. Sala-i-Martin,et al.  I Just Ran Two Million Regressions , 1997 .

[34]  Azriel Rosenfeld,et al.  Robust regression methods for computer vision: A review , 1991, International Journal of Computer Vision.

[35]  Vic Barnett,et al.  Outliers in Statistical Data , 1980 .

[36]  J. Sturm,et al.  On the relationship between economic freedom and economic growth , 2000 .