Chatelain, Jean-Bernard and Ralf, Kirsten (2012): Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth.
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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.
|Item Type:||MPRA Paper|
|Original Title:||Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth|
|Keywords:||Near-Multicollinearity, Student t-Statistic, Spurious regressions, Ceteris paribus, Parameter In�flation Factor, Growth, Foreign Aid|
|Subjects:||F - International Economics > F3 - International Finance > F35 - Foreign Aid
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General
P - Economic Systems > P4 - Other Economic Systems > P45 - International Trade, Finance, Investment, and Aid
|Depositing User:||Jean-Bernard Chatelain|
|Date Deposited:||11. Nov 2012 07:43|
|Last Modified:||11. Feb 2013 17:30|
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