A Shapley-based decomposition of the R-Square of a linear regression
By Osnat Israeli. 2007
232 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/87459761afcc9e36a72ef42af9b1c09a6d592f58
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In Sociology and Political Science
- F. Cnossen
- J. Deutsch
- Jacques Silber
- Milena Nikolova
- M. Sunder
- David Newhouse
- Jonathan Hersh
- Frank Huettner
Citations in the corpus
- Axiomatic arguments for decomposing goodness of fit according to Shapley and Owen values (2012, methodology): “See Anger and Heineck [2] for a more detailed analysis of wages and SCT based on the GSOEP and Isreali [8] for a decomposition analysis for a wage regression model.”
- What makes work meaningful and why economists should care about it (2020, methodology): “Next, using Shapley-based decompositions (Israeli, 2007; Shorrocks, 2013) we empirically demonstrate the relative importance of key job characteristics for meaningful work.”
- Estimating an educational production function for five countries of Latin America on the basis of the PISA data (2013, methodology): “The application of this procedure to the R-square of a regression has been suggested by Israeli (2007).”
- Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being (2017, methodology): “To address this issue, we decompose the using a Shapley decomposition (Shorrocks, 2013; Huettner and Sunder, 2012; Israeli, 2007).”