Relative Importance and Value
By Barry E. Feldman. 2005
95 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Marketing
View Paper: https://www.semanticscholar.org/paper/54640fee343323a53c034a50f261d79c3ea8c584
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Eyal Winter
- Karl H. Schlag
- Ulrike Grömping
- Oliver Kirchkamp
- Andrea Ichino
- Jian Bi
- U. Groemping
- Fabian Bornhorst
In General Decision Sciences
- Eyal Winter
- Karl H. Schlag
- Ulrike Grömping
- Oliver Kirchkamp
- Andrea Ichino
- Jian Bi
- U. Groemping
- Fabian Bornhorst
In Marketing
- Eyal Winter
- Karl H. Schlag
- Ulrike Grömping
- Oliver Kirchkamp
- Andrea Ichino
- Jian Bi
- U. Groemping
- Fabian Bornhorst
Citations in the corpus
- A REVIEW OF STATISTICAL METHODS FOR DETERMINATION OF RELATIVE IMPORTANCE OF CORRELATED PREDICTORS AND IDENTIFICATION OF DRIVERS OF CONSUMER LIKING (2012, background): “Many authors (Cox 1985; Pratt 1987; Genizi 1993; Soofi et al. 2000; Feldman 2005) have developed criteria, axioms and properties of a measure of relative importance based on variance decomposition.”
- Variable Importance Assessment in Regression: Linear Regression versus Random Forest (2009, background): “…and coefficient vectors like those in the article by Grömping (2007) that compares (i) variance decomposition based on averaging over orderings (Lindeman, Merenda, and Gold 1980; Kruskal 1987a, 1987b; Feldman 2005) and (ii) random forest variable importance metrics for two types of forests.”
- Similarities and differences when building trust: the role of cultures (2010, methodology): “…to reporting p values and confidence intervals we include the proportional marginal value decomposition (short, pmvd) as a measure of how much each variable contributes to the variance of our dependent variable. pmvd was proposed by Feldman (2005), we use the implementation of Grömping (2007).”
- Relative Importance for Linear Regression in R: The Package relaimpo (2006, background): “Feldman (2005) specifically constructs pmvd to allocate a share of zero to any regressor with coefficient zero (called “exclusion”).”
- Estimators of Relative Importance in Linear Regression Based on Variance Decomposition (2007, methodology): “Feldman (2005) generally requested exclusion since he considered a regressor with a zero coefficient to be “spurious.””