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Decomposing differences in Black student graduation rates between HBCU and non-HBCU Institutions: The devil is in the details

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  • de Zeeuw, Mels
  • Fazili, Sameera
  • Hotchkiss, Julie L.

Abstract

Six-year graduation rates of Black students at HBCUs are confirmed to match those of Black students at similar non-HBCUs. Digging deeper identifies which mechanisms that translate student and institutional characteristics into graduation rates still differ.

Suggested Citation

  • de Zeeuw, Mels & Fazili, Sameera & Hotchkiss, Julie L., 2021. "Decomposing differences in Black student graduation rates between HBCU and non-HBCU Institutions: The devil is in the details," Economics Letters, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:ecolet:v:202:y:2021:i:c:s0165176521000938
    DOI: 10.1016/j.econlet.2021.109816
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    References listed on IDEAS

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    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LLC, vol. 8(4), pages 453-479, December.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Mels de Zeeuw & Sameera Fazili & Julie L. Hotchkiss, 2020. "Decomposing Outcome Differences between HBCU and Non-HBCU Institutions," FRB Atlanta Working Paper 2020-10, Federal Reserve Bank of Atlanta.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    HBCU; Decomposition; Propensity-score matching; Inverse-probability weighting; Quantile regression;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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