Les liaisons fallacieuses : quasi-colinéarité et « suppresseur classique », aide au développement et croissance
This paper shows that a multiple regression with two highly correlated explanatory variables, both of them with a near zero correlation with the dependent variable may correspond to a spurious regression or to a homeostatic model, with estimates highly sensible to outliers. The regression method does not allow how to decide which one of the two models is relevant. Statistical significance of the (very high) parameters is easily obtained, as shown doing Monte Carlo simulations. An example is provided by the Burnside and Dollar  article on aid, policies and growth.
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- 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.
- repec:cup:cbooks:9780521002882 is not listed on IDEAS
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2012.
"Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth,"
42533, University Library of Munich, Germany.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2014. "Spurious regressions and near-multicollinearity, with an application to aid, policies and growth," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 85-96.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2014. "Spurious regressions and near-multicollinearity, with an application to aid, policies and growth," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 85-96.
- Jean-Bernard Chatelain & Kirsten Ralf, 2012. "Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth," Documents de travail du Centre d'Economie de la Sorbonne 12078, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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