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To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam

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  • Ou, Dongshu

Abstract

The high school exit exam (HSEE) is rapidly becoming a standardized assessment procedure for educational accountability in the United States. I use a unique, state-specific dataset to identify the effects of failing the HSEE on the likelihood of dropping out of high school based on a regression discontinuity design. The analysis shows that students who barely failed the exam were more likely to exit than those who barely passed, despite being offered retest opportunities. The discontinuity amounts to a large proportion of the dropout probability of barely failers, particularly for limited-English-proficiency, racial-minority, and low-income students, suggesting that the potential benefit of raising educational standards might come at the cost of increasing inequality in the educational system.

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  • Ou, Dongshu, 2010. "To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam," Economics of Education Review, Elsevier, vol. 29(2), pages 171-186, April.
    • Handle: RePEc:eee:ecoedu:v:29:y:2010:i:2:p:171-186
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    1. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    2. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2005. "The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools," American Economic Review, American Economic Association, vol. 95(4), pages 1237-1258, September.
    3. Wilbert Van Der Klaauw, 2008. "Regression–Discontinuity Analysis: A Survey of Recent Developments in Economics," LABOUR, CEIS, vol. 22(2), pages 219-245, June.
    4. Ou, Dongshu, 2010. "To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam," Economics of Education Review, Elsevier, vol. 29(2), pages 171-186, April.
    5. Julie Berry Cullen & Randall Reback, 2006. "Tinkering Toward Accolades: School Gaming Under a Performance Accountability System," NBER Working Papers 12286, National Bureau of Economic Research, Inc.
    6. Lemieux, Thomas & Milligan, Kevin, 2008. "Incentive effects of social assistance: A regression discontinuity approach," Journal of Econometrics, Elsevier, vol. 142(2), pages 807-828, February.
    7. Wilbert van der Klaauw, 2002. "Estimating the Effect of Financial Aid Offers on College Enrollment: A Regression-Discontinuity Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(4), pages 1249-1287, November.
    8. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    9. Thomas J. Kane, 2003. "A Quasi-Experimental Estimate of the Impact of Financial Aid on College-Going," NBER Working Papers 9703, National Bureau of Economic Research, Inc.
    10. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    11. John P. Papay & Richard J. Murnane & John B. Willett, 2008. "The Consequences of High School Exit Examinations for Struggling Low-Income Urban Students: Evidence from Massachusetts," NBER Working Papers 14186, National Bureau of Economic Research, Inc.
    12. John H. Bishop, 1998. "The Effect of Curriculum-Based External Exit Exam Systems on Student Achievement," The Journal of Economic Education, Taylor & Francis Journals, vol. 29(2), pages 171-182, June.
    13. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
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    1. Lincove, Jane Arnold & Mata, Catherine & Cortes, Kalena E., 2022. "A Bridge to Graduation: Post-secondary Effects of an Alternative Pathway for Students Who Fail High School Exit Exams," IZA Discussion Papers 15067, Institute of Labor Economics (IZA).
    2. Brian G. Moss & William H. Yeaton, 2013. "Evaluating Effects of Developmental Education for College Students Using a Regression Discontinuity Design," Evaluation Review, , vol. 37(5), pages 370-404, October.
    3. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    4. Steven F. Koch & Jeffrey S. Racine, 2016. "Healthcare facility choice and user fee abolition: regression discontinuity in a multinomial choice setting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 927-950, October.
    5. Papay, John P. & Willett, John B. & Murnane, Richard J., 2011. "Extending the regression-discontinuity approach to multiple assignment variables," Journal of Econometrics, Elsevier, vol. 161(2), pages 203-207, April.
    6. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    7. Clark, Damon & See, Edward, 2011. "The impact of tougher education standards: Evidence from Florida," Economics of Education Review, Elsevier, vol. 30(6), pages 1123-1135.
    8. Harris, Douglas N. & Liu, Lihan & Barrett, Nathan & Li, Ruoxi, 2023. "Is the rise in high school graduation rates real? High-stakes school accountability and strategic behavior," Labour Economics, Elsevier, vol. 82(C).
    9. Åslund, Olof & Grönqvist, Hans & Hall, Caroline & Vlachos, Jonas, 2018. "Education and criminal behavior: Insights from an expansion of upper secondary school," Labour Economics, Elsevier, vol. 52(C), pages 178-192.
    10. Thomas S. Dee & Will Dobbie & Brian A. Jacob & Jonah Rockoff, 2019. "The Causes and Consequences of Test Score Manipulation: Evidence from the New York Regents Examinations," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 382-423, July.
    11. Diette Timothy M. & Helms Sara E., 2014. "Trading the Television for a Textbook?: High School Exit Exams and Student Behavior," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(3), pages 1015-1036, July.
    12. Ou, Dongshu, 2010. "To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam," Economics of Education Review, Elsevier, vol. 29(2), pages 171-186, April.
    13. 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.
    14. Whitaker, Stephan, 2011. "The impact of legalized abortion on high school graduation through selection and composition," Economics of Education Review, Elsevier, vol. 30(2), pages 228-246, April.
    15. Giorgio Di Pietro, 2014. "The Short-term Effectiveness of a Remedial Mathematics Course: Evidence from a UK University," Manchester School, University of Manchester, vol. 82(3), pages 363-384, June.
    16. Marcotte, Dave E., 2013. "High school dropout and teen childbearing," Economics of Education Review, Elsevier, vol. 34(C), pages 258-268.
    17. Ahn, Tom, 2014. "A regression discontinuity analysis of graduation standards and their impact on students’ academic trajectories," Economics of Education Review, Elsevier, vol. 38(C), pages 64-75.
    18. Polson, Chester, 2018. "TAKS-ing students? Texas exit exam effects on human capital formation," Economics of Education Review, Elsevier, vol. 62(C), pages 129-150.
    19. Stefanie Dufaux, 2012. "Assessment for Qualification and Certification in Upper Secondary Education: A Review of Country Practices and Research Evidence," OECD Education Working Papers 83, OECD Publishing.
    20. Tafreschi, Darjusch & Thiemann, Petra, 2016. "Doing it twice, getting it right? The effects of grade retention and course repetition in higher education," Economics of Education Review, Elsevier, vol. 55(C), pages 198-219.
    21. Lee, Kyung-Gon & Polachek, Solomon, 2014. "Do School Budgets Matter? The Effect of Budget Referenda on Student Performance," IZA Discussion Papers 8056, Institute of Labor Economics (IZA).
    22. Joshua C. Hall & Donald J. Lacombe & Shree B. Pokharel, 2020. "State Exit Exams and Graduation Rates: A Hierarchical SLX Modelling Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 50(2), pages 189-206.

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    More about this item

    Keywords

    High school exit exam Student dropout Regression discontinuity;

    JEL classification:

    • N0 - Economic History - - General

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