IDEAS home Printed from https://ideas.repec.org/a/tpr/edfpol/v11y2016i3p310-324.html
   My bibliography  Save this article

Do Grade Weights Promote More Advanced Course-Taking?

Author

Listed:
  • Kristin Klopfenstein

    (Education Innovation Institute University of NorthernColorado Greeley, CO)

  • Kit Lively

    (Independent Consultant Dallas, TX)

Abstract

When calculating class rank, high schools often give additional weight to grades earned in College Board Advanced Placement (AP) courses as an incentive for students to take hard courses. This paper examines changes in student course-taking behavior after an increase in AP grade weights at Texas high schools. We find that raising the magnitude of the AP grade weight in schools already using weights has a small impact that is limited to white students who are not eligible for free or reduced-price lunch (FRPL). When schools introduce grade weights for the first time, the impact is large and widespread with the probability of taking an AP course increasing by 3 to 12 percent and the number of AP courses taken increasing by 0.13 to 0.95 standard deviations. Impacts are largest among students who are not FRPL eligible.

Suggested Citation

  • Kristin Klopfenstein & Kit Lively, 2016. "Do Grade Weights Promote More Advanced Course-Taking?," Education Finance and Policy, MIT Press, vol. 11(3), pages 310-324, Summer.
    • Handle: RePEc:tpr:edfpol:v:11:y:2016:i:3:p:310-324
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/EDFP_a_00182
    Download Restriction: Access to PDF is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. C. Kirabo Jackson, 2010. "A Little Now for a Lot Later: A Look at a Texas Advanced Placement Incentive Program," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    2. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    3. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    4. Goodman, Joshua Samuel, 2012. "The Labor of Division: Returns to Compulsory Math Coursework," Scholarly Articles 9403178, Harvard Kennedy School of Government.
    5. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-1348, December.
    6. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    7. Klopfenstein, Kristin, 2004. "Advanced Placement: do minorities have equal opportunity?," Economics of Education Review, Elsevier, vol. 23(2), pages 115-131, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Russell T. Warne, 2017. "Research on the Academic Benefits of the Advanced Placement Program," SAGE Open, , vol. 7(1), pages 21582440166, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Görlitz, Katja & Gravert, Christina, 2015. "The Effects of Increasing the Standards of the High School Curriculum on School Dropout," IZA Discussion Papers 8766, Institute of Labor Economics (IZA).
    2. Katja Görlitz & Christina Gravert, 2018. "The effects of a high school curriculum reform on university enrollment and the choice of college major," Education Economics, Taylor & Francis Journals, vol. 26(3), pages 321-336, May.
    3. Aughinbaugh, Alison, 2012. "The effects of high school math curriculum on college attendance: Evidence from the NLSY97," Economics of Education Review, Elsevier, vol. 31(6), pages 861-870.
    4. Meta Brown & John Grigsby & Wilbert van der Klaauw & Jaya Wen & Basit Zafar, 2016. "Financial Education and the Debt Behavior of the Young," The Review of Financial Studies, Society for Financial Studies, vol. 29(9), pages 2490-2522.
    5. Rajeev Darolia & Cory Koedel & Joyce B. Main & Felix Ndashimye & Junpeng Yan, 2020. "High School Course Access and Postsecondary STEM Enrollment and Attainment," Working Papers 2004, Department of Economics, University of Missouri.
    6. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    7. Marta De Philippis, 2023. "STEM Graduates and Secondary School Curriculum: Does Early Exposure to Science Matter?," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1914-1947.
    8. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    9. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    10. Joshua Goodman, 2019. "The Labor of Division: Returns to Compulsory High School Math Coursework," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1141-1182.
    11. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
    12. Dougherty, Shaun M. & Goodman, Joshua S. & Hill, Darryl V. & Litke, Erica G. & Page, Lindsay C., 2017. "Objective course placement and college readiness: Evidence from targeted middle school math acceleration," Economics of Education Review, Elsevier, vol. 58(C), pages 141-161.
    13. Shawn Cole & Anna Paulson & Gauri Kartini Shastry, 2016. "High School Curriculum and Financial Outcomes: The Impact of Mandated Personal Finance and Mathematics Courses," Journal of Human Resources, University of Wisconsin Press, vol. 51(3), pages 656-698.
    14. Hill, Andrew J., 2014. "The costs of failure: Negative externalities in high school course repetition," Economics of Education Review, Elsevier, vol. 43(C), pages 91-105.
    15. Esteban Aucejo & Jonathan James, 2021. "The Path to College Education: The Role of Math and Verbal Skills," Journal of Political Economy, University of Chicago Press, vol. 129(10), pages 2905-2946.
    16. Aleksandar Zaklan, 2023. "Coase and Cap-and-Trade: Evidence on the Independence Property from the European Carbon Market," American Economic Journal: Economic Policy, American Economic Association, vol. 15(2), pages 526-558, May.
    17. repec:mpr:mprres:7289 is not listed on IDEAS
    18. Gordon Dahl & Dan-Olof Rooth & Anders Stenberg, 2020. "High School Majors, Comparative (Dis)Advantage, and Future Earnings," NBER Working Papers 27524, National Bureau of Economic Research, Inc.
    19. repec:mpr:mprres:7288 is not listed on IDEAS
    20. Cory Koedel & Teerachat Techapaisarnjaroenkit, 2012. "The Relative Performance of Head Start," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(2), pages 251-275.
    21. Koedel, Cory & Tyhurst, Eric, 2012. "Math skills and labor-market outcomes: Evidence from a resume-based field experiment," Economics of Education Review, Elsevier, vol. 31(1), pages 131-140.
    22. Elke Lüdemann & Guido Schwerdt, 2010. "Migration Background and Educational Tracking: Is there a Double Disadvantage for Second-Generation Immigrants?," CESifo Working Paper Series 3256, CESifo.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tpr:edfpol:v:11:y:2016:i:3:p:310-324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.