IDEAS home Printed from https://ideas.repec.org/p/fir/econom/wp2024_05.html
   My bibliography  Save this paper

An Elephant in the Classroom: Teacher Bias by Student SES or Ability Measurement Bias?

Author

Abstract

Teachers are academic merit gatekeepers. Yet their potential role in reproducing inequality via assessments was overlooked or not correctly identified, being an elephant in the classroom. This article teases if teacher grades and track recommendations are biased by student SES or unobserved ability, leading to overestimation in prior research. Using the German NEPS panel across elementary education, we identify student ability with multiple cognitive and noncognitive composite measures and an instrumental variable design. We further assess heterogeneity along the ability distribution to test whether, according to the compensatory hypothesis, teacher bias is largest among low-performers. First, accounting for measurement error, teacher bias declines by 40%, indicating substantial overestimation in previous studies. Second, it concentrates on underperformers, suggesting high-SES parental compensatory strategies to boost teacher assessments. Thus, families and teachers might influence each other in the evaluation process. We discuss the findings’ theoretical and methodological implications for teacher bias as an educational reproduction mechanism.

Suggested Citation

  • 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".
  • Handle: RePEc:fir:econom:wp2024_05
    as

    Download full text from publisher

    File URL: https://labdisia.disia.unifi.it/wp_disia/2024/wp_disia_2024_05.pdf
    File Function: First version, 2024-06
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    2. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2024. "Revealing Stereotypes: Evidence from Immigrants in Schools," American Economic Review, American Economic Association, vol. 114(7), pages 1916-1948, July.
    3. Calsamiglia, Caterina & Loviglio, Annalisa, 2019. "Grading on a curve: When having good peers is not good," Economics of Education Review, Elsevier, vol. 73(C).
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    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. Ferman, Bruno & Fontes, Luiz Felipe, 2022. "Assessing knowledge or classroom behavior? Evidence of teachers’ grading bias," Journal of Public Economics, Elsevier, vol. 216(C).
    2. Thomas van Huizen, 2021. "Teacher bias or measurement error bias? Evidence from track recommendations," Working Papers 2113, Utrecht School of Economics.
    3. Delaney, Judith M. & Devereux, Paul J., 2023. "Gender Differences in Teacher Judgement of Comparative Advantage," IZA Discussion Papers 16635, Institute of Labor Economics (IZA).
    4. Bart H. H. Golsteyn & Cécile Magnée & Inge Wolf, 2024. "Did Migrant Children Benefit from a Delay in the Dutch Primary School Exit Test?," De Economist, Springer, vol. 172(3), pages 141-166, September.
    5. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2024. "Revealing Stereotypes: Evidence from Immigrants in Schools," American Economic Review, American Economic Association, vol. 114(7), pages 1916-1948, July.
    6. 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.
    7. Ferman, Bruno & Fontes, Luiz Felipe, 2020. "Discriminating Behavior: Evidence from teachers’ grading bias," MPRA Paper 100400, University Library of Munich, Germany.
    8. 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.
    9. Tumen, Semih & Vlassopoulos, Michael & Wahba, Jackline, 2021. "Training Teachers for Diversity Awareness: Impact on School Attendance of Refugee Children," IZA Discussion Papers 14557, Institute of Labor Economics (IZA).
    10. Cheti Nicoletti & Almudena Sevilla & Valentina Tonei, 2022. "Gender stereotypes in the family," CEP Discussion Papers dp1891, Centre for Economic Performance, LSE.
    11. Thomas van Huizen & Madelon Jacobs & Matthijs Oosterveen, 2024. "Teacher bias or measurement error?," Papers 2401.04200, arXiv.org, revised Feb 2024.
    12. Rangel, Marcos A. & Shi, Ying, 2020. "First Impressions: The Case of Teacher Racial Bias," IZA Discussion Papers 13347, Institute of Labor Economics (IZA).
    13. Leckie, G. & Maragkou, K., 2024. "Tracing the Origins of Gender Bias in Teacher Grades," Cambridge Working Papers in Economics 2457, Faculty of Economics, University of Cambridge.
    14. Ellen Sahlström & Mikko Silliman, 2024. "The Extent and Consequences of Teacher Biases against Immigrants," CESifo Working Paper Series 11050, CESifo.
    15. 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.
    16. 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.
    17. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
    18. Cristina Bellés-Obrero & María Lombardi, 2022. "Teacher Performance Pay and Student Learning: Evidence from a Nationwide Program in Peru," Economic Development and Cultural Change, University of Chicago Press, vol. 70(4), pages 1631-1669.
    19. Barron, Kai & Ditlmann, Ruth & Gehrig, Stefan & Schweighofer-Kodritsch, Sebastian, 2020. "Explicit and implicit belief-based gender discrimination: A hiring experiment," Discussion Papers, Research Unit: Economics of Change SP II 2020-306, WZB Berlin Social Science Center.
    20. Maria Zumbuehl & Nihal Chehber & Rik Dillingh, 2022. "Can skill differences explain the gap in the track recommendation by socio-economic status?," CPB Discussion Paper 439, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

    Teacher assessments; teacher bias and discrimination; class inequality; educational transitions; tracking recommendations; standardized testing; grades; longitudinal studies of education;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:wp2024_05. 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.