IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp1257.html
   My bibliography  Save this paper

Outlier Aversion in Evaluating Performance: Evidence from Figure Skating

Author

Listed:
  • Lee, Jungmin

    () (Seoul National University)

Abstract

The quality of subjective performance evaluation is dependent on the incentive structures faced by evaluators, in particular on how they are monitored and themselves evaluated. Figure skating competitions provide a unique opportunity to study subjective evaluation. This paper develops and tests a simple model of what I call "outlier aversion bias" in which subjective evaluators avoid submitting outlying judgments. We find significant evidence for the existence of outlier aversion. Individual judges within a game manipulate scores to achieve a targeted level of agreement with the other judges. Furthermore, a natural experiment shows that the dispersion of scores across judges depends upon the type of judge-assessment system and its implication for outlier aversion. Agreement may not be a good criterion for the validity of an evaluation system, contradicting the industrial psychology and personnel management literature.

Suggested Citation

  • Lee, Jungmin, 2004. "Outlier Aversion in Evaluating Performance: Evidence from Figure Skating," IZA Discussion Papers 1257, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp1257
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp1257.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
    2. Victor A. Ginsburgh & Jan C. van Ours, 2003. "Expert Opinion and Compensation: Evidence from a Musical Competition," American Economic Review, American Economic Association, vol. 93(1), pages 289-296, March.
    3. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    4. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    5. Saxonhouse, Gary R, 1976. "Estimated Parameters as Dependent Variables," American Economic Review, American Economic Association, vol. 66(1), pages 178-183, March.
    6. Lamont, Owen A., 2002. "Macroeconomic forecasts and microeconomic forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 265-280, July.
    7. Prendergast, Canice & Topel, Robert H, 1996. "Favoritism in Organizations," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 958-978, October.
    8. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    9. Eric Zitzewitz, 2006. "Nationalism in Winter Sports Judging and Its Lessons for Organizational Decision Making," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(1), pages 67-99, March.
    10. Luis Garicano & Ignacio Palacios-Huerta & Canice Prendergast, 2005. "Favoritism Under Social Pressure," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 208-216, May.
    11. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    2. Peter Cappelli & Martin J. Conyon, 2018. "What Do Performance Appraisals Do?," ILR Review, Cornell University, ILR School, vol. 71(1), pages 88-116, January.
    3. Sutter, Matthias & Kocher, Martin G., 2004. "Favoritism of agents - The case of referees' home bias," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 461-469, August.
    4. Vincenzo Scoppa, 2008. "Are subjective evaluations biased by social factors or connections? An econometric analysis of soccer referee decisions," Empirical Economics, Springer, vol. 35(1), pages 123-140, August.
    5. David Greenaway & Alessandra Guariglia & Zhihong Yu, 2014. "The more the better? Foreign ownership and corporate performance in China," The European Journal of Finance, Taylor & Francis Journals, vol. 20(7-9), pages 681-702, September.
    6. Hujer, Reinhard & Zeiss, Christopher, 2006. "Macroeconomic Effects of Short-Term Training Measures on the Matching Process in Western Germany," IZA Discussion Papers 2489, Institute of Labor Economics (IZA).
    7. Verdolini, Elena & Vona, Francesco & Popp, David, 2018. "Bridging the gap: Do fast-reacting fossil technologies facilitate renewable energy diffusion?," Energy Policy, Elsevier, vol. 116(C), pages 242-256.
    8. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    9. Robin, Stéphane & Rusinowska, Agnieszka & Villeval, Marie Claire, 2014. "Ingratiation: Experimental evidence," European Economic Review, Elsevier, vol. 66(C), pages 16-38.
    10. António Osório, 2020. "Performance Evaluation: Subjectivity, Bias and Judgment Style in Sport," Group Decision and Negotiation, Springer, vol. 29(4), pages 655-678, August.
    11. Morakinyo O. Adetutu, Anthony J. Glass, and Thomas G. Weyman-Jones, 2016. "Economy-wide Estimates of Rebound Effects: Evidence from Panel Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Schneider, Sophie Therese, 2018. "North-South trade agreements and the quality of institutions: Panel data evidence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 27-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    13. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.
    14. Thomas Dohmen & Jan Sauermann, 2016. "Referee Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 679-695, September.
    15. Changjun Zheng & Mohammed Mizanur Rahman & Munni Begum & Badar Nadeem Ashraf, 2017. "Capital Regulation, the Cost of Financial Intermediation and Bank Profitability: Evidence from Bangladesh," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 10(2), pages 1-24, April.
    16. Arnold, Ivo J. M. & Kool, Clemens J. M. & Raabe, Katharina, 2006. "Industries and the bank lending effects of bank credit demand and monetary policy in Germany," Discussion Paper Series 1: Economic Studies 2006,48, Deutsche Bundesbank.
    17. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    18. Laptieva, Nataliia, 2016. "Information sharing and the volume of private credit in transition: Evidence from Ukrainian bank-level panel dataAuthor-Name: Grajzl, Peter," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 434-449.
    19. repec:eee:labchp:v:3:y:1999:i:pb:p:2373-2437 is not listed on IDEAS
    20. Maria Petrova & Robert H. Bates, 2012. "Evolution of Risk and Political Regimes," Economics and Politics, Wiley Blackwell, vol. 24(2), pages 200-225, July.
    21. Grigoli, Francesco & Herman, Alexander & Schmidt-Hebbel, Klaus, 2018. "Saving in the world," World Development, Elsevier, vol. 104(C), pages 257-270.

    More about this item

    Keywords

    subjective performance evaluation; outlier aversion bias;

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp1257. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Holger Hinte). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.