In the quest for economic significance: Assessing variable importance through mean value decomposition
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Other versions of this item:
- H. E. T. Holgersson & T. Norman & S. Tavassoli, 2014. "In the quest for economic significance: assessing variable importance through mean value decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 545-549, May.
- Holgersson, Thomas & Norman, Therese & Tavassoli, Sam, 2013. "In the quest for economic significance: Assessing variable importance through mean value decomposition," Working Paper Series in Economics and Institutions of Innovation 326, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
References listed on IDEAS
- Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
- Stephen T. Ziliak & Deirdre N. McCloskey, 2004.
"Size Matters: The Standard Error of Regressions in the American Economic Review,"
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- Ziliak, Stephen T. & McCloskey, Deirdre N., 2004. "Size matters: the standard error of regressions in the American Economic Review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 527-546, November.
- Luigi Fabbris, 1980. "Measures of predictor variable importance in multiple regression: An additional suggestion," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(6), pages 787-792, December.
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More about this item
KeywordsConditioning; Economic significance; Regression analysis; Mean Value Decomposition; Goodness-of-Fit;
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2013-12-15 (All new papers)
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