IDEAS home Printed from https://ideas.repec.org/a/eee/pubeco/v216y2022ics004727272200175x.html
   My bibliography  Save this article

Assessing knowledge or classroom behavior? Evidence of teachers’ grading bias

Author

Listed:
  • Ferman, Bruno
  • Fontes, Luiz Felipe

Abstract

This paper tests whether teachers unequally evaluate students based on their classroom behavior, rather than their scholastic competence. Evidence is drawn from a unique dataset on students from Brazil, which allows us to contrast teacher- and blindly-assigned scores on achievement tests that are high-stakes and cover the same material. We find that teachers inflate test scores of better-behaved students, and deduct points from worse-behaved ones. We also find that teachers’ decision to promote students is influenced by how they behave in class. Our results (i) document a potentially inefficient way of assessing students’ knowledge, (ii) explain a large part of grading discrimination against boys, and (iii) reveal a causal effect of noncognitive skills on educational outcomes that is unrelated to student proficiency.

Suggested Citation

  • Ferman, Bruno & Fontes, Luiz Felipe, 2022. "Assessing knowledge or classroom behavior? Evidence of teachers’ grading bias," Journal of Public Economics, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:pubeco:v:216:y:2022:i:c:s004727272200175x
    DOI: 10.1016/j.jpubeco.2022.104773
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004727272200175X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpubeco.2022.104773?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    2. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    3. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    4. Hinnerich, Björn Tyrefors & Höglin, Erik & Johannesson, Magnus, 2011. "Are boys discriminated in Swedish high schools?," Economics of Education Review, Elsevier, vol. 30(4), pages 682-690, August.
    5. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2018. "Revealing Stereotypes: Evidence from Immigrants in Schools," NBER Working Papers 25333, National Bureau of Economic Research, Inc.
    6. Lavy, Victor & Sand, Edith, 2018. "On the origins of gender gaps in human capital: Short- and long-term consequences of teachers' biases," Journal of Public Economics, Elsevier, vol. 167(C), pages 263-279.
    7. Bart H. H. Golsteyn & Arjan Non & Ulf Zölitz, 2021. "The Impact of Peer Personality on Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 129(4), pages 1052-1099.
    8. Christopher Cornwell & David B. Mustard & Jessica Van Parys, 2013. "Noncognitive Skills and the Gender Disparities in Test Scores and Teacher Assessments: Evidence from Primary School," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 236-264.
    9. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    10. J. Aislinn Bohren & Alex Imas & Michael Rosenberg, 2019. "The Dynamics of Discrimination: Theory and Evidence," American Economic Review, American Economic Association, vol. 109(10), pages 3395-3436, October.
    11. Nordin, Martin & Heckley, Gawain & Gerdtham, Ulf, 2019. "The impact of grade inflation on higher education enrolment and earnings," Economics of Education Review, Elsevier, vol. 73(C).
    12. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    13. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    14. Fernando Botelho & Ricardo Madeira, Marcos A. Rangel, 2015. "Racial Discrimination in Grading: Evidence from Brazil," Working Papers, Department of Economics 2015_04, University of São Paulo (FEA-USP).
    15. Carmit Segal, 2013. "Misbehavior, Education, And Labor Market Outcomes," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 743-779, August.
    16. Calsamiglia, Caterina & Loviglio, Annalisa, 2019. "Grading on a curve: When having good peers is not good," Economics of Education Review, Elsevier, vol. 73(C).
    17. Carmit Segal, 2012. "Working When No One Is Watching: Motivation, Test Scores, and Economic Success," Management Science, INFORMS, vol. 58(8), pages 1438-1457, August.
    18. Simon Burgess & Ellen Greaves, 2013. "Test Scores, Subjective Assessment, and Stereotyping of Ethnic Minorities," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 535-576.
    19. Thomas Breda & Son Thierry Ly, 2015. "Professors in Core Science Fields Are Not Always Biased against Women: Evidence from France," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 53-75, October.
    20. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    21. Thomas S. Dee & Will Dobbie & Brian A. Jacob & Jonah Rockoff, 2019. "The Causes and Consequences of Test Score Manipulation: Evidence from the New York Regents Examinations," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 382-423, July.
    22. Lex Borghans & Huub Meijers & Bas Ter Weel, 2008. "The Role Of Noncognitive Skills In Explaining Cognitive Test Scores," Economic Inquiry, Western Economic Association International, vol. 46(1), pages 2-12, January.
    23. Catarina Angelo & Ana Balcão Reis, 2021. "Gender gaps in different grading systems," Education Economics, Taylor & Francis Journals, vol. 29(1), pages 105-119, January.
    24. Lindahl, Erica, 2007. "Comparing teachers’ assessments and national test results – evidence from Sweden," Working Paper Series 2007:24, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    25. David N. Figlio, 2007. "Boys Named Sue: Disruptive Children and Their Peers," Education Finance and Policy, MIT Press, vol. 2(4), pages 376-394, September.
    26. Rema N. Hanna & Leigh L. Linden, 2012. "Discrimination in Grading," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 146-168, November.
    27. Rebecca Diamond & Petra Persson, 2016. "The Long-term Consequences of Teacher Discretion in Grading of High-stakes Tests," NBER Working Papers 22207, National Bureau of Economic Research, Inc.
    28. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    29. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    30. Non, Arjan & Tempelaar, Dirk, 2016. "Time preferences, study effort, and academic performance," Economics of Education Review, Elsevier, vol. 54(C), pages 36-61.
    31. Fernando Botelho & Ricardo A. Madeira & Marcos A. Rangel, 2015. "Racial Discrimination in Grading: Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 37-52, October.
    32. Ozkan Eren & Michael F. Lovenheim & H. Naci Mocan, 2022. "The Effect of Grade Retention on Adult Crime: Evidence from a Test-Based Promotion Policy," Journal of Labor Economics, University of Chicago Press, vol. 40(2), pages 361-395.
    33. Falch, Torberg & Naper, Linn Renée, 2013. "Educational evaluation schemes and gender gaps in student achievement," Economics of Education Review, Elsevier, vol. 36(C), pages 12-25.
    34. Lydia Mechtenberg, 2009. "Cheap Talk in the Classroom: How Biased Grading at School Explains Gender Differences in Achievements, Career Choices and Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1431-1459.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rangel, Marcos & Marotta, Luana & van der Werf, Cynthia & Duryea, Suzanne & Drouet Arias, Marcelo & Rodríguez Guillén, Lucina, 2024. "Barriers to Immigrant Assimilation: Evidence on Grading Bias in Ecuadorian High Schools," IDB Publications (Working Papers) 13434, Inter-American Development Bank.

    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. Ferman, Bruno & Fontes, Luiz Felipe, 2020. "Discriminating Behavior: Evidence from teachers’ grading bias," MPRA Paper 100400, University Library of Munich, Germany.
    2. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    3. Nicole Black & Sonja C. de New, 2020. "Short, Heavy and Underrated? Teacher Assessment Biases by Children's Body Size," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 961-987, October.
    4. Delaney, Judith M. & Devereux, Paul J., 2023. "Gender Differences in Teacher Judgement of Comparative Advantage," IZA Discussion Papers 16635, Institute of Labor Economics (IZA).
    5. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    6. Thomas van Huizen, 2021. "Teacher bias or measurement error bias? Evidence from track recommendations," Working Papers 2113, Utrecht School of Economics.
    7. Victor Lavy & Rigissa Megalokonomou, 2019. "Persistency in Teachers’ Grading Bias and Effects on Longer-Term Outcomes: University Admissions Exams and Choice of Field of Study," NBER Working Papers 26021, National Bureau of Economic Research, Inc.
    8. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    9. Camille Terrier, 2014. "Giving a Little Help to Girls? Evidence on Grade Discrimination and its Effect on Students Achievement," Working Papers hal-01080834, HAL.
    10. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    11. Lavy, Victor & Sand, Edith, 2015. "On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases," The Warwick Economics Research Paper Series (TWERPS) 1085, University of Warwick, Department of Economics.
    12. Thomas van Huizen & Madelon Jacobs & Matthijs Oosterveen, 2024. "Teacher bias or measurement error?," Papers 2401.04200, arXiv.org, revised Feb 2024.
    13. Balart, Pau & Oosterveen, Matthijs & Webbink, Dinand, 2018. "Test scores, noncognitive skills and economic growth," Economics of Education Review, Elsevier, vol. 63(C), pages 134-153.
    14. James J. Heckman & Bridget Galaty & Haihan Tian, 2023. "The Economic Approach to Personality, Character and Virtue," NBER Working Papers 31258, National Bureau of Economic Research, Inc.
    15. Lavy, Victor & Sand, Edith, 2018. "On the origins of gender gaps in human capital: Short- and long-term consequences of teachers' biases," Journal of Public Economics, Elsevier, vol. 167(C), pages 263-279.
    16. Rangel, Marcos & Marotta, Luana & van der Werf, Cynthia & Duryea, Suzanne & Drouet Arias, Marcelo & Rodríguez Guillén, Lucina, 2024. "Barriers to Immigrant Assimilation: Evidence on Grading Bias in Ecuadorian High Schools," IDB Publications (Working Papers) 13434, Inter-American Development Bank.
    17. Nordin, Martin & Heckley, Gawain & Gerdtham, Ulf, 2019. "The impact of grade inflation on higher education enrolment and earnings," Economics of Education Review, Elsevier, vol. 73(C).
    18. Rangvid Beatrice Schindler, 2019. "Gender Discrimination in Exam Grading? Double Evidence from a Natural Experiment and a Field Experiment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-23, April.
    19. Claudia Contreras, 2018. "Discriminación de género en las calificaciones de las escuelas públicas uruguayas," Documentos de Trabajo (working papers) 0318, Department of Economics - dECON.
    20. Marisa Bucheli & Claudia Contreras, 2018. "Discriminación de género en las calificaciones de las escuelas públicas uruguayas," Documentos de trabajo 2018008, Banco Central del Uruguay.

    More about this item

    Keywords

    Classroom behavior; Noncognitive skills; Grading bias; Test scores;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:eee:pubeco:v:216:y:2022:i:c:s004727272200175x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505578 .

    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.