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The impact of high school exit exams on graduation rates and achievement

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  • Katherine Caves
  • Simone Balestra

Abstract

The authors examined the short- and long-term effects of high school exit exams (HSEEs) on graduation rates and achievement using an interrupted time series approach. There is a positive overall effect of HSEE introduction for graduation rate trends, which is heterogeneous over time. HSEEs have a negative impact on graduation rates in the year of introduction and briefly after, which is short lived and becomes positive (but not statistically significant) over the long term. There is also a preintervention negative effect, suggesting that high schools prepare for the HSEE before introduction. There are no effects for achievement, possibly due to the lack of meaningful cross-state achievement data. The findings are robust to the inclusion of states that do not have HSEEs as a control group and also robust to controlling for No Child Left Behind introduction.

Suggested Citation

  • Katherine Caves & Simone Balestra, 2018. "The impact of high school exit exams on graduation rates and achievement," The Journal of Educational Research, Taylor & Francis Journals, vol. 111(2), pages 186-200, March.
  • Handle: RePEc:taf:vjerxx:v:111:y:2018:i:2:p:186-200
    DOI: 10.1080/00220671.2016.1226158
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    Cited by:

    1. Leschnig, Lisa & Schwerdt, Guido & Zigova, Katarina, 2022. "Central exams and adult skills: Evidence from PIAAC," Economics of Education Review, Elsevier, vol. 90(C).
    2. Leschnig, Lisa & Schwerdt, Guido & Zigova, Katarina, 2022. "Central exams and adult skills: Evidence from PIAAC," Economics of Education Review, Elsevier, vol. 90(C).
    3. Maruyama, Takao & Kageyama, Akiko & Kunieda, Nobuhiro, 2022. "Region-wide initiative to expand girls’ enrollment in primary education in Niger: A case of collective impact for educational development," International Journal of Educational Development, Elsevier, vol. 91(C).

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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