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Relative Performance Feedback and Long-Term Tasks – Experimental Evidence from Higher Education

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  • Raphael Brade
  • Oliver Himmler
  • Robert Jaeckle

Abstract

We present first experimental evidence that relative performance feedback improves both the speed and quality with which challenging long-term tasks are completed. Providing university students with ongoing relative feedback on accumulated course credits accelerates graduation by 0.12 SD, and also improves grades by 0.063 SD. Treatment effects are concentrated among students with medium pre-treatment graduation probabilities: when these students are informed about an above-average performance, their outcomes improve – otherwise their outcomes deteriorate. Combined with survey evidence, this pattern of results suggests that learning about own ability is a plausible mechanism.

Suggested Citation

  • Raphael Brade & Oliver Himmler & Robert Jaeckle, 2023. "Relative Performance Feedback and Long-Term Tasks – Experimental Evidence from Higher Education," CESifo Working Paper Series 10346, CESifo.
  • Handle: RePEc:ces:ceswps:_10346
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    1. Azmat, Ghazala & Iriberri, Nagore, 2010. "The importance of relative performance feedback information: Evidence from a natural experiment using high school students," Journal of Public Economics, Elsevier, vol. 94(7-8), pages 435-452, August.
    2. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Benjamin Elsner & Ingo E. Isphording, 2017. "A Big Fish in a Small Pond: Ability Rank and Human Capital Investment," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 787-828.
    4. Hermes, Henning & Huschens, Martin & Rothlauf, Franz & Schunk, Daniel, 2021. "Motivating low-achievers—Relative performance feedback in primary schools," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 45-59.
    5. Fischer, Mira & Wagner, Valentin, 2023. "Do timing and reference frame of feedback influence high-stakes educational outcomes?," Economics of Education Review, Elsevier, vol. 94(C).
    6. Damon Clark & David Gill & Victoria Prowse & Mark Rush, 2020. "Using Goals to Motivate College Students: Theory and Evidence From Field Experiments," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 648-663, October.
    7. Alberto Abadie & Matthew M. Chingos & Martin R. West, 2018. "Endogenous Stratification in Randomized Experiments," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 567-580, October.
    8. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    9. Benjamin Elsner & Ingo E Isphording & Ulf Zölitz, 2021. "Achievement Rank Affects Performance and Major Choices in College [Gender, competitiveness, and socialization at a young age: evidence from a matrilineal and a patriarchal society]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3182-3206.
    10. Goulas, Sofoklis & Megalokonomou, Rigissa, 2021. "Knowing who you actually are: The effect of feedback on short- and longer-term outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 589-615.
    11. Nava Ashaf & Dean Karlan & Wesley Yin, 2006. "Household decision making and savings impacts: Further evidence from a commitment savings product in the philippines," Natural Field Experiments 00207, The Field Experiments Website.
    12. Benjamin L. Castleman & Lindsay C. Page, 2016. "Freshman Year Financial Aid Nudges: An Experiment to Increase FAFSA Renewal and College Persistence," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 389-415.
    13. Eriksson, Tor & Poulsen, Anders & Villeval, Marie Claire, 2009. "Feedback and incentives: Experimental evidence," Labour Economics, Elsevier, vol. 16(6), pages 679-688, December.
    14. Anik Ashraf, 2022. "Performance Ranks, Conformity, and Cooperation: Evidence from a Sweater Factory," CESifo Working Paper Series 9591, CESifo.
    15. Susan Dynarski & CJ Libassi & Katherine Michelmore & Stephanie Owen, 2021. "Closing the Gap: The Effect of Reducing Complexity and Uncertainty in College Pricing on the Choices of Low-Income Students," American Economic Review, American Economic Association, vol. 111(6), pages 1721-1756, June.
    16. Tran, Anh & Zeckhauser, Richard, 2012. "Rank as an inherent incentive: Evidence from a field experiment," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 645-650.
    17. Todd Stinebrickner & Ralph Stinebrickner, 2012. "Learning about Academic Ability and the College Dropout Decision," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 707-748.
    18. Klausmann, Tim & Wagner, Valentin & Zipperle, Isabell, 2021. "Rank response functions in an online learning environment," Economics Letters, Elsevier, vol. 209(C).
    19. L I Dobrescu & M Faravelli & R Megalokonomou & A Motta, 2021. "Relative Performance Feedback in Education: Evidence from a Randomised Controlled Trial [‘Teachers and student achievement in the Chicago public high schools’]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3145-3181.
    20. Steven Blader & Claudine Gartenberg & Andrea Prat, 2020. "The Contingent Effect of Management Practices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 721-749.
    21. Rigissa Megalokonomou & Yi Zhang, 2022. "How Good Am I? Effects and Mechanisms behind Salient Ranks," CESifo Working Paper Series 9991, CESifo.
    22. Delaney, Judith M. & Devereux, Paul J., 2022. "Rank Effects in Education: What Do We Know So Far?," IZA Discussion Papers 15128, Institute of Labor Economics (IZA).
    23. Bertoni, Marco & Nisticò, Roberto, 2023. "Ordinal rank and the structure of ability peer effects," Journal of Public Economics, Elsevier, vol. 217(C).
    24. Patterson, Richard W., 2018. "Can behavioral tools improve online student outcomes? Experimental evidence from a massive open online course," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 293-321.
    25. 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.
    26. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    27. Jordi Blanes i Vidal & Mareike Nossol, 2011. "Tournaments Without Prizes: Evidence from Personnel Records," Management Science, INFORMS, vol. 57(10), pages 1721-1736, October.
    28. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    29. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    30. Philip Oreopoulos & Uros Petronijevic, 2019. "The Remarkable Unresponsiveness of College Students to Nudging And What We Can Learn from It," NBER Working Papers 26059, National Bureau of Economic Research, Inc.
    31. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    32. Bound, John & Turner, Sarah, 2011. "Dropouts and Diplomas," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 573-613, Elsevier.
    33. Philip Oreopoulos & Uros Petronijevic, 2013. "Making College Worth It: A Review of Research on the Returns to Higher Education," NBER Working Papers 19053, National Bureau of Economic Research, Inc.
    34. Behlen, Lars & Himmler, Oliver & Jaeckle, Robert, 2022. "Can defaults change behavior when post-intervention effort is required? Evidence from education," MPRA Paper 112962, University Library of Munich, Germany.
    35. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    36. Hunter, John E, 2001. "The Desperate Need for Replications," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 149-158, June.
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    More about this item

    Keywords

    relative performance feedback; rank; natural field experiment; higher education; perceived ability; belief updating;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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