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The Causal Effects of Cultural Relevance: Evidence from an Ethnic Studies Curriculum

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  • Thomas Dee
  • Emily Penner

Abstract

An extensive theoretical and qualitative literature stresses the promise of instructional practices and content aligned with the cultural experiences of minority students. Ethnic studies courses provide a growing but controversial example of such “culturally relevant pedagogy.” However, the empirical evidence on the effectiveness of these courses is limited. In this study, we estimate the causal effects of an ethnic studies curriculum piloted in several San Francisco high schools. We rely on a “fuzzy” regression discontinuity design based on the fact that several schools assigned students with eighth-grade GPAs below a threshold to take the course in ninth grade. Our results indicate that assignment to this course increased ninth-grade student attendance by 21 percentage points, GPA by 1.4 grade points, and credits earned by 23. These surprisingly large effects are consistent with the hypothesis that the course reduced dropout rates and suggest that culturally relevant teaching, when implemented in a supportive, high-fidelity context, can provide effective support to at-risk students.

Suggested Citation

  • Thomas Dee & Emily Penner, 2016. "The Causal Effects of Cultural Relevance: Evidence from an Ethnic Studies Curriculum," NBER Working Papers 21865, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21865
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    References listed on IDEAS

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    1. Marinho Bertanha & Guido W. Imbens, 2020. "External Validity in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 593-612, July.
    2. George A. Akerlof & Rachel E. Kranton, 2002. "Identity and Schooling: Some Lessons for the Economics of Education," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1167-1201, December.
    3. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    4. Roland Bénabou & Jean Tirole, 2003. "Intrinsic and Extrinsic Motivation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 489-520.
    5. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2117-2123.
    8. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
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    Cited by:

    1. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.

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    • I0 - Health, Education, and Welfare - - General

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