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Barriers to Immigrant Assimilation: Evidence on Grading Bias in Ecuadorian High Schools

Author

Listed:
  • Rangel, Marcos
  • Marotta, Luana
  • van der Werf, Cynthia
  • Duryea, Suzanne
  • Drouet Arias, Marcelo
  • Rodríguez Guillén, Lucina

Abstract

We investigate the assimilation of immigrant youth in Ecuador. Focusing on formal schooling and employing administrative data from high schools, we document subtle ways by which assessment biases against students with an immigrant background play a significant role in this assimilation process. We find that, after holding constant performance on blindly scored proficiency tests, teacher-assigned grades in Mathematics and Spanish are consistently lower for students from immigrant families. We show that these results are robust with respect to the omission of socio-emotional and behavioral traits that are likely valued by teachers. These differentials are larger for male students and those attending urban schools. While these grading differentials have direct impact over high school graduation rates, they may also discourage future human capital investments, potentially leading to lower college attendance, distorted choice of major, and sub-optimal labor market outcomes, which are all well know elements for the economic assimilation of immigrants.

Suggested Citation

  • 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.
    • Handle: RePEc:idb:brikps:13434
    DOI: http://dx.doi.org/10.18235/0005681
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    References listed on IDEAS

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    1. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    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. 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.
    4. 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.
    5. 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.
    6. Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2022. "Reply to: Comments on “Goals and Gaps: Educational Careers of Immigrant Children”," Econometrica, Econometric Society, vol. 90(1), pages 43-46, January.
    7. Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2022. "Goals and Gaps: Educational Careers of Immigrant Children," Econometrica, Econometric Society, vol. 90(1), pages 1-29, January.
    8. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    9. Lawrence E. Blume, 2006. "The Dynamics of Statistical Discrimination," Economic Journal, Royal Economic Society, vol. 116(515), pages 480-498, November.
    10. 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.
    11. Elacqua, Gregory & Marotta, Luana, 2020. "Is working one job better than many? Assessing the impact of multiple school jobs on teacher performance in Rio de Janeiro," Economics of Education Review, Elsevier, vol. 78(C).
    12. 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).
    13. Ferman, Bruno & Fontes, Luiz Felipe, 2020. "Discriminating Behavior: Evidence from teachers’ grading bias," MPRA Paper 100400, University Library of Munich, Germany.
    14. 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.
    15. Claire L Adida & Adeline Lo & Melina R Platas, 2019. "Americans preferred Syrian refugees who are female, English-speaking, and Christian on the eve of Donald Trump’s election," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-18, October.
    16. Ferman, Bruno & Fontes, Luiz Felipe, 2022. "Assessing knowledge or classroom behavior? Evidence of teachers’ grading bias," Journal of Public Economics, Elsevier, vol. 216(C).
    17. Bansak, Kirk & Hainmueller, Jens & Hangartner, Dominik, 2016. "How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers," LSE Research Online Documents on Economics 67898, London School of Economics and Political Science, LSE Library.
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    More about this item

    Keywords

    Immigration assimilation; human capital; teacher discrimination; grading bias;
    All these keywords.

    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

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