Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth
In multiple regressions, 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 which are unfortunately �"outliers driven" and 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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- Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
- Burnside, Craig & Dollar, David, 1997.
"Aid, policies, and growth,"
Policy Research Working Paper Series
1777, The World Bank.
- T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
- 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, 2010.
"Conditional aid effectiveness: A meta-study,"
Journal of International Development,
John Wiley & Sons, Ltd., vol. 22(4), pages 391-410.
- Chatelain, Jean-Bernard, 2010.
"Can statistics do without artefacts?,"
42867, University Library of Munich, Germany.
- Jean-Bernard Chatelain, 2010. "Can Statistics Do without Artefacts?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00750495, HAL.
- Hoover,Kevin D., 2001.
"Causality in Macroeconomics,"
Cambridge University Press, number 9780521002882, December.
- Aris Spanos, 2006. "Revisiting the omitted variables argument: Substantive vs. statistical adequacy," Journal of Economic Methodology, Taylor & Francis Journals, vol. 13(2), pages 179-218.
- Jean-Bernard Chatelain, 2010. "Can Statistics Do without Artefacts?," Working Papers hal-00750495, HAL.
- 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.
- Hristos Doucouliagos & Martin Paldam, 2005. "Aid Effectiveness on Growth. A Meta Study," Economics Working Papers 2005-13, Department of Economics and Business Economics, Aarhus University.
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