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Performance evaluation inflation and compression

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  • Golman, Russell
  • Bhatia, Sudeep

Abstract

We provide a behavioral account of subjective performance evaluation inflation (i.e., leniency bias) and compression (i.e., centrality bias). When a manager observes noisy signals of employee performance and the manager strives to produce accurate ratings but feels worse about unfavorable errors than about favorable errors, the manager’s selfishly optimal ratings will be biased upwards. Both the uncertainty about performance and the asymmetry in the manager’s utility are necessary conditions for performance evaluation inflation. Moreover, the extent of the bias is increasing in the variance of the performance signal and in the asymmetry in aversion to unfair ratings. Uncertainty about performance also leads to compressed ratings. These results suggest that performance appraisals based on well-defined unambiguous criteria will have less bias. Additionally, we demonstrate that employer and employee can account for biased performance evaluations when they agree to a contract, and thus, to the extent leniency bias and centrality bias persist, these biases hurt employee performance and lower firm productivity.

Suggested Citation

  • Golman, Russell & Bhatia, Sudeep, 2012. "Performance evaluation inflation and compression," Accounting, Organizations and Society, Elsevier, vol. 37(8), pages 534-543.
  • Handle: RePEc:eee:aosoci:v:37:y:2012:i:8:p:534-543
    DOI: 10.1016/j.aos.2012.09.001
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    3. Puhani, Patrick A. & Yang, Philip, 2020. "Does increased teacher accountability decrease leniency in grading?," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 333-341.
    4. Thuy‐Van Tran & Janne Järvinen, 2022. "Understanding the concept of subjectivity in performance evaluation and its effects on perceived procedural justice across contexts," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 4079-4108, September.
    5. Baik, Bok & Evans, John H. & Kim, Kyonghee & Yanadori, Yoshio, 2016. "White collar incentives," Accounting, Organizations and Society, Elsevier, vol. 53(C), pages 34-49.
    6. Kusterer, David & Sliwka, Dirk, 2022. "Social Preferences and Rating Biases in Subjective Performance Evaluations," IZA Discussion Papers 15496, Institute of Labor Economics (IZA).
    7. Thuy-Van Tran & Sinikka Lepistö & Janne Järvinen, 2021. "The relationship between subjectivity in managerial performance evaluation and the three dimensions of justice perception," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(3), pages 369-399, September.
    8. Ockenfels, Axel & Sliwka, Dirk & Werner, Peter, 2024. "Multi-Rater Performance Evaluations and Incentives," IZA Discussion Papers 16812, Institute of Labor Economics (IZA).
    9. B. William Demeré & Karen L. Sedatole & Alexander Woods, 2019. "The Role of Calibration Committees in Subjective Performance Evaluation Systems," Management Science, INFORMS, vol. 65(4), pages 1562-1585, April.
    10. Irene Trapp & Rouven Trapp, 2019. "The psychological effects of centrality bias: an experimental analysis," Journal of Business Economics, Springer, vol. 89(2), pages 155-189, March.
    11. Victor S. Maas & Niels Verdoorn, 2017. "The effects of performance report layout on managers’ subjective evaluation judgments," Accounting and Business Research, Taylor & Francis Journals, vol. 47(7), pages 731-751, November.
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    14. Qing Zhu & Renxian Zuo & Yuze Li & Shan Liu, 2021. "A system evaluation of NBA rookie contract execution efficiency with stacked Autoencoder and hybrid DEA," Operational Research, Springer, vol. 21(4), pages 2771-2807, December.
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    16. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.

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