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Description
In this study, I examine the extent to which firms rely on relative performance evaluation (RPE) when setting executive compensation. In particular, I examine whether firms use information about peer performance to determine compensation at the end of the year, i.e. after both firm and peer performance are observed. I

In this study, I examine the extent to which firms rely on relative performance evaluation (RPE) when setting executive compensation. In particular, I examine whether firms use information about peer performance to determine compensation at the end of the year, i.e. after both firm and peer performance are observed. I find that RPE is most pronounced for firms that allow little or no scope for ex post subjective adjustments to annual bonuses. Conversely, firms that rely mainly on subjectivity in determining bonus exhibit little use of RPE. These findings suggest that information about peer performance is not used at the end of the year. Instead, peer performance seems to be incorporated in performance targets at the beginning of the year, at least among firms primarily using objective performance measurements. In addition, I provide new evidence on the determinants of the use of subjectivity.
ContributorsTsui, Stephanie (Author) / Matejka, Michal (Thesis advisor) / Hwang, Yuhchang (Committee member) / Kaplan, Steven (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Relative performance evaluation (RPE) in Chief Executive Officer (CEO) compensation contracts entails the use of peer performance to filter out exogenous shocks and reduce exposure to risk. Theory predicts that high-quality peers can effectively filter out noise from performance measurement, yet prior empirical studies do not examine how differences in

Relative performance evaluation (RPE) in Chief Executive Officer (CEO) compensation contracts entails the use of peer performance to filter out exogenous shocks and reduce exposure to risk. Theory predicts that high-quality peers can effectively filter out noise from performance measurement, yet prior empirical studies do not examine how differences in peer quality affect the use of RPE in practice. In this study, I propose a model to select peers with the highest capacity to filter out noise and introduce a novel measure of peer quality. Consistent with the theory, I find that firms with high quality peers rely on RPE to a greater extent than firms with few good peers available. I also examine the extent to which peers disclosed in proxy statements overlap with the best peers predicted by my model. I find that the overlap is positively associated with institutional ownership, use of top 5 compensation consultants, and compensation committee competence.
ContributorsCho, Jeh-Hyun (Author) / Matejka, Michal (Thesis advisor) / Kaplan, Steve (Committee member) / Casas-Arce, Pablo (Committee member) / Arizona State University (Publisher)
Created2020