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Peer effects in the decision to apply for a professional excellence award

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  • Berlinski, Samuel
  • Ramos, Alejandra

Abstract

We study the role social interactions at the workplace play in the decision to apply for a professional recognition program. In Chile, teachers can apply to a pedagogical excellence award. Successful applicants receive a wage increase and are publicly recognized. We exploit the quasi-random variation in the allocation of awards generated by a sharp assignment rule. We document that the success of an applicant increases her school colleagues’ application rate to the program by almost 75%. The impact is higher for colleagues with closer interaction with a successful applicant. We speculate on social learning as a driver of this result.

Suggested Citation

  • Berlinski, Samuel & Ramos, Alejandra, 2020. "Peer effects in the decision to apply for a professional excellence award," Labour Economics, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:labeco:v:67:y:2020:i:c:s092753712030138x
    DOI: 10.1016/j.labeco.2020.101934
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    1. Philipp Ager & Leonardo Bursztyn & Hans-Joachim Voth, 2016. "Killer Incentives: Status Competition and Pilot Performance during World War II," NBER Working Papers 22992, National Bureau of Economic Research, Inc.
    2. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust data-driven inference in the regression-discontinuity design," Stata Journal, StataCorp LP, vol. 14(4), pages 909-946, December.
    3. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    4. Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
    5. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    6. Armin Falk & Andrea Ichino, 2006. "Clean Evidence on Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 39-58, January.
    7. Ashraf, Nava & Bandiera, Oriana & Lee, Scott S., 2014. "Awards unbundled: Evidence from a natural field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 100(C), pages 44-63.
    8. Bruce Sacerdote, 2014. "Experimental and Quasi-Experimental Analysis of Peer Effects: Two Steps Forward?," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 253-272, August.
    9. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    10. Oriana Bandiera & Iwan Barankay & Imran Rasul, 2010. "Social Incentives in the Workplace," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 417-458.
    11. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    12. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    13. repec:mpr:mprres:6475 is not listed on IDEAS
    14. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    15. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    16. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    17. Michele Pellizzari, 2010. "Do Friends and Relatives Really Help in Getting a Good Job?," ILR Review, Cornell University, ILR School, vol. 63(3), pages 494-510, April.
    18. Michael Bates, 2020. "Public and Private Employer Learning: Evidence from the Adoption of Teacher Value Added," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 375-420.
    19. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    20. Berlinski, Samuel & Ramos, Alejandra, 2020. "Teacher mobility and merit pay: Evidence from a voluntary public award program," Journal of Public Economics, Elsevier, vol. 186(C).
    21. Brigham R. Frandsen, 2017. "Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design when the Running Variable is Discrete," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 281-315, Emerald Group Publishing Limited.
    22. Jones, Todd R. & Kofoed, Michael S., 2020. "Do peers influence occupational preferences? Evidence from randomly-assigned peer groups at West Point," Journal of Public Economics, Elsevier, vol. 184(C).
    23. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    24. Markussen, Simen & Røed, Knut, 2017. "The gender gap in entrepreneurship – The role of peer effects," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 356-373.
    25. Hsieh, Chang-Tai & Urquiola, Miguel, 2006. "The effects of generalized school choice on achievement and stratification: Evidence from Chile's voucher program," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1477-1503, September.
    26. Sangyoon Park, 2019. "Socializing at Work: Evidence from a Field Experiment with Manufacturing Workers," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 424-455, July.
    27. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    More about this item

    Keywords

    Merit award; Public recognition; Peer effects; Social learning;
    All these keywords.

    JEL classification:

    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J58 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Public Policy
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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