IDEAS home Printed from https://ideas.repec.org/p/fir/econom/wp2025_09.html

Good Grades for Hard Work? A Lab-in-the-Field Study of Effort and Educational Inequality

Author

Abstract

Despite its importance for status attainment and meritocracy, measuring effort remains elusive, often relying on indirect proxies or unreliable self-reports. This study examines how objective (cognitive effort, CogEff) and subjective (teacher-perceived effort, TpEff) measures of student effort contribute to educational inequality. We examine the predictive capacity of effort for educational performance and test the mediating and moderating roles of effort in the relationship between parental socioeconomic status (SES) and school grades. Drawing on original, representative "lab-in-the-field" data from 1,270 fifth-graders in Spain and Germany, who performed three different incentivized real-effort tasks engaging various executive functions, four key findings emerge. First, both CogEff and TpEff predict grade point average (GPA), with TpEff having a powerful effect, more predictive even than IQ or parental SES. Second, effort—especially TpEff—is unequally distributed by parental SES and explains a substantial share of the SES-based GPA gap, on par with IQ. Third, roughly half of the GPA gap by social origin remains unexplained even after accounting for academic merit (IQ + effort). Fourth, while grading returns to CogEff are independent of SES, high-SES students are significantly less penalized for low TpEff than low-SES peers. Overall, effort predicts academic success and shapes educational (in)equality. High-SES students show higher average effort and can afford to be perceived as lazy, while hardworking low-SES students can overcome disadvantage through greater returns to teacher-perceived effort. We discuss the findings' implications for student agency, educational inequality, and fair evaluations.

Suggested Citation

  • Carlos J. Gil-Hernández & Alberto Palacios-Abad & Jonas Radl, 2025. "Good Grades for Hard Work? A Lab-in-the-Field Study of Effort and Educational Inequality," Econometrics Working Papers Archive 2025_09, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  • Handle: RePEc:fir:econom:wp2025_09
    as

    Download full text from publisher

    File URL: https://labdisia.disia.unifi.it/wp_disia/2025/wp_disia_2025_09.pdf
    File Function: First version, 2025-09
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gregory A. Krohn & Catherine M. O'Connor, 2005. "Student Effort and Performance over the Semester," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 3-28, January.
    2. Jayanti Owens, 2022. "Double Jeopardy: Teacher Biases, Racialized Organizations, and the Production of Racial/Ethnic Disparities in School Discipline," American Sociological Review, , vol. 87(6), pages 1007-1048, December.
    3. John E. Roemer & Alain Trannoy, 2016. "Equality of Opportunity: Theory and Measurement," Journal of Economic Literature, American Economic Association, vol. 54(4), pages 1288-1332, December.
    4. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    5. David Gill & Victoria Prowse, 2012. "A Structural Analysis of Disappointment Aversion in a Real Effort Competition," American Economic Review, American Economic Association, vol. 102(1), pages 469-503, February.
    6. Apascaritei, Paula & Demel, Simona & Radl, Jonas, 2021. "The Difference Between Saying and Doing: Comparing Subjective and Objective Measures of Effort Among Fifth Graders," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(11), pages 1457-1479.
    7. Lisa G. Smithers & Alyssa C. P. Sawyer & Catherine R. Chittleborough & Neil M. Davies & George Davey Smith & John W. Lynch, 2018. "A systematic review and meta-analysis of effects of early life non-cognitive skills on academic, psychosocial, cognitive and health outcomes," Nature Human Behaviour, Nature, vol. 2(11), pages 867-880, November.
    8. Ferman, Bruno & Fontes, Luiz Felipe, 2022. "Assessing knowledge or classroom behavior? Evidence of teachers’ grading bias," Journal of Public Economics, Elsevier, vol. 216(C).
    9. Attanasio, Orazio P. & de Paula, Áureo & Toppeta, Alessandro, 2025. "Intergenerational mobility in socio-emotional skills," Journal of Public Economics, Elsevier, vol. 248(C).
    10. Radl, Jonas & Miller, Luis, 2021. "Conceptual and Methodological Considerations on Effort: An Interdisciplinary Approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(11), pages 1447-1456.
    11. Holtmann, Anne Christine & Menze, Laura & Solga, Heike, 2021. "Intergenerational Transmission of Educational Attainment: How Important Are Children’s Personality Characteristics?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(11), pages 1531-1554.
    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. Marcenaro-Gutierrez, O.D. & Lopez-Agudo, L.A. & Henriques, C.O., 2021. "Are soft skills conditioned by conflicting factors? A multiobjective programming approach to explore the trade-offs," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 18-40.
    2. Carlos J. Gil-Hernández & Mar C. Espadafor, 2024. "An Elephant in the Classroom: Teacher Bias by Student SES or Ability Measurement Bias?," Econometrics Working Papers Archive 2024_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Daniela Del Boca & Enrica Maria Martino & Chiara Pronzato, 2023. "Correction to: Non cognitive skills and childcare attendance," Review of Economics of the Household, Springer, vol. 21(3), pages 1153-1153, September.
    4. Shuangda Wei, 2024. "Is aiming high always a good thing? A behavioral model of aspiration failure with evidence from lower-secondary students in China," Rationality and Society, , vol. 36(4), pages 409-447, November.
    5. McGue, Matt & Anderson, Elise L. & Willoughby, Emily & Giannelis, Alexandros & Iacono, William G. & Lee, James J., 2022. "Not by g alone: The benefits of a college education among individuals with low levels of general cognitive ability," Intelligence, Elsevier, vol. 92(C).
    6. Qiqi Liu & Tingwu Yan, 2025. "The effect of noncognitive abilities on promoting the adoption of soil testing and formula fertilization technology by farmers: empirical insights from Central China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(2), pages 4937-4969, February.
    7. Sebastian J. Goerg & Sebastian Kube & Jonas Radbruch, 2019. "The Effectiveness of Incentive Schemes in the Presence of Implicit Effort Costs," Management Science, INFORMS, vol. 65(9), pages 4063-4078, September.
    8. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2022. "Estimating the late-life effects of social and emotional skills in childhood using midlife mediators," Social Science & Medicine, Elsevier, vol. 292(C).
    9. Charlotte Cabane & Adrian Hille & Michael Lechner, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," SOEPpapers on Multidisciplinary Panel Data Research 749, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Doran, Kirk, 2014. "Are long-term wage elasticities of labor supply more negative than short-term ones?," Economics Letters, Elsevier, vol. 122(2), pages 208-210.
    11. Ionuț Jianu & Marin Dinu & Dragoș Huru & Alexandru Bodislav, 2021. "Examining the Relationship between Income Inequality and Growth from the Perspective of EU Member States’ Stage of Development," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    12. Kristof Bosmans & Z. Emel Öztürk, 2022. "Laissez-faire versus Pareto," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(4), pages 741-751, May.
    13. Patricio S Dalton & Victor H Gonzalez Jimenez & Charles N Noussair, 2017. "Exposure to Poverty and Productivity," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    14. Emmanuel Dechenaux & Dan Kovenock & Roman Sheremeta, 2015. "A survey of experimental research on contests, all-pay auctions and tournaments," Experimental Economics, Springer;Economic Science Association, vol. 18(4), pages 609-669, December.
    15. Ek, Claes, 2017. "Some causes are more equal than others? The effect of similarity on substitution in charitable giving," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 45-62.
    16. Jean-Michel Benkert, 2025. "Bilateral trade with loss-averse agents," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(2), pages 519-560, March.
    17. Hendrik Jürges & Luca Stella & Sameh Hallaq & Alexandra Schwarz, 2022. "Cohort at risk: long-term consequences of conflict for child school achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(1), pages 1-43, January.
    18. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    19. Christian A. Vossler & Scott M. Gilpatric, 2017. "Endogenous Tax Audits and Taxpayer Assistance Services: Theory and Experiments," Working Papers 2017-01, University of Tennessee, Department of Economics.
    20. Szabó-Morvai, Ágnes & Kiss, Hubert János, 2022. "Különböznek-e a roma és nem roma diákok nem kognitív képességeikben? [Do Roma and non-Roma students differ in their non-cognitive abilities?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1433-1456.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fir:econom:wp2025_09. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Fabrizio Cipollini (email available below). General contact details of provider: https://edirc.repec.org/data/dsfirit.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.