Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth
Explanatory variables with simple correlation coefficients with the dependent variable below 0.1 in absolute value (such as aid with economic growth) may have very large and statistically significant estimated parameters in multiple regressions, which are unifortunately "outliers driven" or spurious. This is obtained by including another regressor which is highly correlated with the initial regressor, such as a lag, a square or interaction terms of this regressor. The analysis is applied on the "Botswana outliers driven" Burnside and Dollar  article which found that aid had an effect on growth only for countries achieving "good" macroeconomic policies.
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- Hristos Doucouliagos & Martin Paldam, 2005.
"Conditional Aid Effectiveness. A Meta Study,"
Economics Working Papers
2005-14, School of Economics and Management, University of Aarhus.
- David Dollar & Craig Burnside, 2000.
"Aid, Policies, and Growth,"
American Economic Review,
American Economic Association, vol. 90(4), pages 847-868, September.
- Friedman, Lynn & Wall, Melanie, 2005. "Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression," The American Statistician, American Statistical Association, vol. 59, pages 127-136, May.
- Jean-Bernard Chatelain & Kirsten Ralf, 2010. "Inference on Time-Invariant Variables using Panel Data: A Pre-Test Estimator with an Application to the Returns to Schooling," PSE Working Papers hal-00492039, HAL.
- Hristos Doucouliagos & Martin Paldam, 2005. "Aid Effectiveness on Growth. A Meta Study," Economics Working Papers 2005-13, School of Economics and Management, University of Aarhus.
- T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
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