Shapley inequality decomposition by factor components: Some methodological issues
By Mercedes Sastre, Alain Trannoy. 2002
194 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6e9a4de8540dd02959cc379a9b756551c94ca5a1
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Citations in the corpus
- A Shapley-based decomposition of the R-Square of a linear regression (2007, background): “2 Further applications are given by Sastre and Trannoy [ 8 ].”
- Estimating an educational production function for five countries of Latin America on the basis of the PISA data (2013, methodology): “Appendix 4 summarizes the main idea of the Shapley decomposition originally proposed by Chantreuil and Trannoy (1999), Shorrocks (1999) and Sastre and Trannoy (2002).”
- Axiomatic arguments for decomposing goodness of fit according to Shapley and Owen values (2012, background): “We focus on the relative importance 10Note that the two-step (or ‘nested’) Shapley value promoted by Sastre and Trannoy [16] violates this condition.”
- Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition (2014, background): “Sastre and Trannoy (2002) examine Shapley inequality decomposition by factor components that focus particularly on several methodological issues that cannot be solved from a theoretical perspective.”