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Author's gender affects the rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment

Author

Listed:
  • Michał Krawczyk

    () (Faculty of Economic Sciences, University of Warsaw)

  • Magdalena Smyk

    () (Faculty of Economic Sciences, University of Warsaw)

Abstract

In this study we sought to verify the hypothesis that a researcher’s gender affects evaluation of his or her work, especially in fields in which women are a small minority. To this end we asked a sample of economics majors to rate papers written by mixed-gender couples, indicating that they were (co-) authored by a “female economist”, “male economist”, “young female economist” or “young male economist”. While the age factor played no role, female authors received lower ratings. This effect was independent of the subject's gender.

Suggested Citation

  • Michał Krawczyk & Magdalena Smyk, 2014. "Author's gender affects the rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment," Working Papers 2014-07, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2014-07
    as

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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP124.pdf
    File Function: First version, 2014
    Download Restriction: no

    References listed on IDEAS

    as
    1. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    2. Muller, Ulrich A. & Dacorogna, Michel M. & Dave, Rakhal D. & Olsen, Richard B. & Pictet, Olivier V. & von Weizsacker, Jacob E., 1997. "Volatilities of different time resolutions -- Analyzing the dynamics of market components," Journal of Empirical Finance, Elsevier, pages 213-239.
    3. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, pages 307-327.
    5. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, pages 307-327.
    7. Mapa, Dennis S., 2003. "A Range-Based GARCH Model for Forecasting Volatility," MPRA Paper 21323, University Library of Munich, Germany.
    8. Patton, Andrew J., 2011. "Volatility forecast comparison using imperfect volatility proxies," Journal of Econometrics, Elsevier, pages 246-256.
    9. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    10. Patton, Andrew J., 2011. "Volatility forecast comparison using imperfect volatility proxies," Journal of Econometrics, Elsevier, pages 246-256.
    11. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, pages 307-333.
    12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, pages 987-1007.
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    Citations

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    Cited by:

    1. Michał Krawczyk, 2016. "Are all researchers male? Gender misattributions in citations," Working Papers 2016-05, Faculty of Economic Sciences, University of Warsaw.

    More about this item

    Keywords

    women in science; laboratory experiment; gender bias;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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