CEO Pay-For-Performance Heterogeneity Using Quantile Regression
We provide some examples of how quantile regression can be used to investigate heterogeneity in pay-firm size and pay-performance relationships for U.S. CEOs. For example, do conditionally (predicted) high-wage managers have a stronger relationship between pay and performance than conditionally low-wage managers? Our results using data over a decade show, for some standard specifications, there is considerable heterogeneity in the returns-to-firm performance across the conditional distribution of wages. Quantile regression adds substantially to our understanding of the pay-performance relationship. This heterogeneity is masked when using more standard empirical techniques. Copyright (c) 2010, The Eastern Finance Association.
Year of publication: |
2010
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Authors: | Hallock, Kevin F. ; Madalozzo, Regina ; Reck, Clayton G. |
Published in: |
The Financial Review. - Eastern Finance Association - EFA. - Vol. 45.2010, 1, p. 1-19
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Publisher: |
Eastern Finance Association - EFA |
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