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/gross domestic product (GDP) with GDP growth) face a problem of parameter identification. They may have very large, 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 “Gambia and Botswana outliers driven” Burnside and Dollar (2000) article which found that aid/GDP had an effect on growth only for countries achieving “good” macroeconomic policies.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Hoover,Kevin D., 2001. "Causality in Macroeconomics," Cambridge Books, Cambridge University Press, number 9780521002882, February.
- Hoover,Kevin D., 2001. "Causality in Macroeconomics," Cambridge Books, Cambridge University Press, number 9780521452175, February.
- 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.
- Hristos Doucouliagos & Martin Paldam, 2005. "Conditional Aid Effectiveness. A Meta Study," Economics Working Papers 2005-14, Department of Economics and Business Economics, Aarhus University.
- 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.
- David Dollar & Craig Burnside, 2000. "Aid, Policies, and Growth," American Economic Review, American Economic Association, vol. 90(4), pages 847-868, September.
- Burnside, Craig & Dollar, David, 1997. "Aid, policies, and growth," Policy Research Working Paper Series 1777, The World Bank.
- 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.
- 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.
- T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
- 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. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:eee:jmacro:v:39:y:2014:i:pa:p:85-96. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If references are entirely missing, you can add them using this form.