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Do women respond less to performance pay? Building evidence from multiple experiments

Author

Listed:
  • Bandiera, Oriana
  • Fischer, Greg
  • Prat, Andrea
  • Ytsma, Erina

Abstract

Performance pay increases productivity but also earnings inequality. Can it widen the gender gap because women are less responsive? We provide answers by aggregating evidence from existing experiments on performance pay that have both male and female subjects, regardless of whether they test for gender differences. We develop a Bayesian hierarchical model (BHM) that allows us to estimate both the average effect and the heterogeneity across studies. We find that the gender response difference is close to zero and heterogeneity across studies is small. We also find that the average effect of performance pay is positive, increasing output by 0.28 standard deviations. The data are thus strongly supportive of agency theory for men and women alike.

Suggested Citation

  • Bandiera, Oriana & Fischer, Greg & Prat, Andrea & Ytsma, Erina, 2016. "Do women respond less to performance pay? Building evidence from multiple experiments," CEPR Discussion Papers 11724, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:11724
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    Citations

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    Cited by:

    1. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2017. "Gender and Peer Effects in Social Networks," IZA Discussion Papers 10588, Institute of Labor Economics (IZA).
    2. Guiteras, Raymond P. & Jack, B. Kelsey, 2018. "Productivity in piece-rate labor markets: Evidence from rural Malawi," Journal of Development Economics, Elsevier, vol. 131(C), pages 42-61.
    3. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2019. "Gender and peer effects on performance in social networks," European Economic Review, Elsevier, vol. 113(C), pages 207-224.
    4. Difang Huang & Zhengyang Bao, 2020. "Gender Differences in Reaction to Enforcement Mechanisms: A Large-Scale Natural Field Experiment," Monash Economics Working Papers 08-20, Monash University, Department of Economics.
    5. Sophie Clot & Marina Della Giusta & Amalia Di Girolamo, 2018. "Keep Calm and Carry on: Gender Differences in Endurance," Economics Discussion Papers em-dp2018-03, Department of Economics, Reading University.
    6. Sophie Clot & Marina Della Giusta & Giovanni Razzu, 2020. "Gender gaps in competition: new experimental evidence from UK," Economics Discussion Papers em-dp2020-15, Department of Economics, Reading University.
    7. Jakob Alfitian & Dirk Sliwka & Timo Vogelsang, 2021. "When Bonuses Backfire: Evidence from the Workplace," Natural Field Experiments 00725, The Field Experiments Website.
    8. Klinowski, David, 2019. "Selection into self-improvement and competition pay: Gender, stereotypes, and earnings volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 128-146.

    More about this item

    Keywords

    econometrics; Gender; meta-analysis; wage differentials;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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