IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/13555.html
   My bibliography  Save this paper

Revealing Stereotypes: Evidence from Immigrants in Schools

Author

Listed:
  • Alesina, Alberto F
  • Carlana, Michela
  • La Ferrara, Eliana
  • Pinotti, Paolo

Abstract

If individuals become aware of their stereotypes, do they change their behavior? We study this question in the context of teachers' bias in grading immigrants and native children in middle schools. Teachers give lower grades to immigrant students compared to natives who have the same performance on standardized, blindly-graded tests. We then relate differences in grading to teachers' stereotypes, elicited through an Implicit Association Test (IAT). We find that math teachers with stronger stereotypes give lower grades to immigrants compared to natives with the same performance. Literature teachers do not differentially grade immigrants based on their own stereotypes. Finally, we share teachers' own IAT score with them, randomizing the timing of disclosure around the date on which they assign term grades. All teachers informed of their stereotypes before term grading increase grades assigned to immigrants. Revealing stereotypes may be a powerful intervention to decrease discrimination, but it may also induce a reaction from individuals who were not acting in a biased way.

Suggested Citation

  • Alesina, Alberto F & Carlana, Michela & La Ferrara, Eliana & Pinotti, Paolo, 2019. "Revealing Stereotypes: Evidence from Immigrants in Schools," CEPR Discussion Papers 13555, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:13555
    as

    Download full text from publisher

    File URL: http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=13555
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2017. "Goals and Gaps: Educational Careers of Immigrant Children," Working Papers 111, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    2. Facchini, Giovanni & Margalit, Yotam & Nakata, Hiroyuki, 2016. "Countering Public Opposition to Immigration: The Impact of Information Campaigns," IZA Discussion Papers 10420, Institute of Labor Economics (IZA).
    3. Carlana, Michela, 2018. "Implicit Stereotypes: Evidence from Teachers' Gender Bias," IZA Discussion Papers 11659, Institute of Labor Economics (IZA).
    4. Alberto Alesina & Eliana La Ferrara, 2014. "A Test of Racial Bias in Capital Sentencing," American Economic Review, American Economic Association, vol. 104(11), pages 3397-3433, November.
    5. Eric P. Bettinger, 2012. "Paying to Learn: The Effect of Financial Incentives on Elementary School Test Scores," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 686-698, August.
    6. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    7. 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.
    8. 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).
    9. 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.
    10. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    11. Decio Coviello & Nicola Persico, 2015. "An Economic Analysis of Black-White Disparities in the New York Police Department's Stop-and-Frisk Program," The Journal of Legal Studies, University of Chicago Press, vol. 44(2), pages 315-360.
    12. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2017. "Measuring and Bounding Experimenter Demand," CESifo Working Paper Series 6516, CESifo Group Munich.
    13. repec:hrv:faseco:30752840 is not listed on IDEAS
    14. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259 Elsevier.
    15. Alberto Alesina & Armando Miano & Stefanie Stantcheva, 2018. "Immigration and Redistribution," NBER Working Papers 24733, National Bureau of Economic Research, Inc.
    16. repec:aea:aecrev:v:108:y:2018:i:2:p:201-40 is not listed on IDEAS
    17. Barbieri, Gianna & Rossetti, Claudio & Sestito, Paolo, 2011. "The determinants of teacher mobility: Evidence using Italian teachers’ transfer applications," Economics of Education Review, Elsevier, vol. 30(6), pages 1430-1444.
    18. Alesina, Alberto F & Miano, Armando & Stantcheva, Stefanie, 2018. "Immigration and Redistribution," CEPR Discussion Papers 13035, C.E.P.R. Discussion Papers.
    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. Haaland, Ingar & Roth, Christopher, 2019. "Beliefs About Racial Discrimination and Support for Pro-Black Policies," Discussion Paper Series in Economics 2/2019, Norwegian School of Economics, Department of Economics.
    2. Mongoljin Batsaikhan & Mette Gørtz & John Kennes & Ran Sun Lyng & Daniel Monte & Norovsambuu Tumennasan, 2019. "Daycare Choice and Ethnic Diversity: Evidence from a Randomized Survey," Economics Working Papers 2019-02, Department of Economics and Business Economics, Aarhus University.

    More about this item

    Keywords

    bias in grading; IAT; immigrants; implicit stereotypes; teachers;

    JEL classification:

    • 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

    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:cpr:ceprdp:13555. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.