This note shows how the Shapley value can be applied to the regressionbased methods that are often used to decompose changes in wage distributions. The method remedies the path-dependency exhibited by existing approaches that compute the contributions due to (1) changes in sample observable characteristics, (2) changes in the return of characteristics, (3) changes in the distribution of unobservable characteristics.
Shapley-Value Decompositions of Changes in Wage Distributions: A Note
DEVICIENTI, Francesco Serafino Michele
2010-01-01
Abstract
This note shows how the Shapley value can be applied to the regressionbased methods that are often used to decompose changes in wage distributions. The method remedies the path-dependency exhibited by existing approaches that compute the contributions due to (1) changes in sample observable characteristics, (2) changes in the return of characteristics, (3) changes in the distribution of unobservable characteristics.
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