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doi:10.1016/j.jfineco.2004.01.006    
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Copyright © 2006 Elsevier B.V. All rights reserved.

Asymmetric benchmarking in compensation: Executives are rewarded for good luck but not penalized for badstar, open

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Gerald T. Garveya and Todd T. Milbournb, Corresponding Author Contact Information, E-mail The Corresponding Author

aBarclays Global Investors, San Francisco, CA 94105, USA

bJohn M. Olin School of Business, Washington University, St. Louis, MO 63130, USA


Received 13 May 2003; 
revised 2 October 2003; 
accepted 14 January 2004. 
Available online 2 May 2006.

Abstract

Principal-agent theory suggests that a manager should be paid relative to a benchmark that removes the effect of market or sector performance on the firm's own performance. Recently, it has been argued that such indexation is not observed in the data because executives can set pay in their own interests; that is, they can enjoy “pay for luck” as well as “pay for performance.” We first show that this argument is incomplete. The positive expected return on stock markets reflects compensation for bearing systematic risk. If executives’ pay is tied to market movements, they can only expect to receive the market-determined return for risk-bearing. This argument, however, assumes that executive pay is tied to bad luck as well as to good luck. If executives can truly influence the setting of their pay, they will seek to have their performance benchmarked only when it is in their interest, namely, when the benchmark has fallen. Using industry benchmarks, we find significantly less pay for luck when luck is down (in which case, pay for luck would reduce compensation) than when it is up. These empirical results are robust to a variety of alternative hypotheses and robustness checks, and they suggest that the average executive loses 25–45% less pay from bad luck than is gained from good luck.

Keywords: CEO compensation; Benchmarking; Pay for luck

JEL classification codes: D8; G3; J3

Article Outline

1. Introduction
2. A simple model of pay for luck
2.1. Basic results
2.2. Results when executives have access to capital markets
2.3. Second thoughts: asymmetric benchmarking?
3. Empirical analysis
3.1. Data and descriptive statistics
3.2. Pay for luck confirmed
3.3. Evidence of asymmetric indexation
3.4. Testing the break point and functional form
4. Alternative explanations
4.1. Performance nonlinearities
4.2. External labor market forces
4.3. Job loss as punishment for bad luck
5. Additional tests: how does skimming take place?
5.1. Governance and skimming
5.2. Fixed value versus fixed number option granting policies
6. Concluding remarks
References


star, openThanks to Sendhil Mullainathan (American Finance Association discussant), Harold Mulherin, Bill Schwert (editor), Richard Smith, Yisong Tian, Steven Todd, conference participants at the 2004 AFA meetings, seminar participants at Claremont McKenna College, Indiana University, Southern Methodist University, University of Arizona and York University, and especially an anonymous referee for very useful comments. Remaining errors are our own.


Corresponding Author Contact InformationCorresponding author. Tel.: +314 935 6392; fax: +314 935 6359.

 
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