IDEAS home Printed from https://ideas.repec.org/a/sae/amerec/v57y2012i1p1-20.html
   My bibliography  Save this article

Does Ap Economics Improve Student Achievement?

Author

Listed:
  • Christopher Clark
  • Benjamin Scafidi
  • John R. Swinton

Abstract

We employ an empirical approach designed to control for selection issues to estimate the effect of taking Advanced Placement (AP) Economics in high school on student performance on a high-stakes, statewide End-of-Course Test (EOCT). Using data on all Georgia students who took economics from 2006 to 2008, we use propensity score matching to control for the selection of students into AP Economics. Our most conservative estimate makes an adjustment for teacher effects and suggests that students who take high school economics in an AP class score 0.283 standard deviations higher on the economics EOCT than “matched†students who are in high schools that do not offer AP Economics. We find large differences in “AP effects†across subpopulations—in particular, students from low income backgrounds, African Americans, and students who performed poorly in prior mathematics courses benefit the most from AP Economics. All estimates of AP effects are substantially below OLS estimates, suggesting positive selection into AP Economics. The results are robust to different matching techniques for the full sample and all large and medium sized subpopulations. After controlling for teacher effects, the choice of schools as to whether or not to offer AP Economics does not appear to impact estimates of AP effects.

Suggested Citation

  • Christopher Clark & Benjamin Scafidi & John R. Swinton, 2012. "Does Ap Economics Improve Student Achievement?," The American Economist, Sage Publications, vol. 57(1), pages 1-20, May.
    • Handle: RePEc:sae:amerec:v:57:y:2012:i:1:p:1-20
    DOI: 10.1177/056943451205700101
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/056943451205700101
    Download Restriction: no
    File URL: https://libkey.io/10.1177/056943451205700101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Watts, Michael & Bosshardt, William, 1991. "How Instructors Make a Difference: Panel Data Estimates from Principles of Economic Courses," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 336-340, May.
    2. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    3. Geiser, Saul & Santelices, Veronica, 2004. "The Role of Advanced Placement and Honors Courses in College Admissions," University of California at Berkeley, Center for Studies in Higher Education qt3ft1g8rz, Center for Studies in Higher Education, UC Berkeley.
    4. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    5. Kristin Klopfenstein & M. Kathleen Thomas, 2009. "The Link between Advanced Placement Experience and Early College Success," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 873-891, January.
    6. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    7. Figlio, David N. & Lucas, Maurice E., 2004. "Do high grading standards affect student performance?," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1815-1834, August.
    8. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    9. Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
    10. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    11. Ozkan Eren & Daniel J. Henderson, 2008. "The impact of homework on student achievement," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 326-348, July.
    12. 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.
    13. Cory Koedel & Julian R. Betts, 2011. "Does Student Sorting Invalidate Value-Added Models of Teacher Effectiveness? An Extended Analysis of the Rothstein Critique," Education Finance and Policy, MIT Press, vol. 6(1), pages 18-42, January.
    14. John Bishop & Ferran Mane, 2004. "Educational Reform and Disadvantaged Students: Are They Better Off or Worse Off?," CESifo Working Paper Series 1309, CESifo.
    15. John Swinton & Thomas De Berry & Benjamin Scafidi & Howard Woodard, 2010. "Does in-service professional learning for high school economics teachers improve student achievement?," Education Economics, Taylor & Francis Journals, vol. 18(4), pages 395-405.
    16. Julian R. Betts, 1998. "The two-legged stool: the neglected role of educational standards in improving America's public schools," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Mar), pages 97-116.
    17. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    18. Tawni H. Ferrarini & James D. Gwartney & John S. Morton, 2011. "Advanced Placement Economics: The Good, the Bad, and the Ugly," Econ Journal Watch, Econ Journal Watch, vol. 8(1), pages 57-75, January.
    19. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    20. Christopher Clark & Benjamin Scafidi & John R. Swinton, 2011. "Do Peers Influence Achievement in High School Economics? Evidence from Georgia's Economics End of Course Test," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(1), pages 3-18, January.
    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. Carlos J. Asarta & Austin S. Jennings & Paul W. Grimes, 2017. "Economic Education Retrospective," The American Economist, Sage Publications, vol. 62(1), pages 102-117, March.

    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. Ozkan Eren & Daniel J. Henderson, 2008. "The impact of homework on student achievement," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 326-348, July.
    2. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Is Export Promotion Effective in Developing Countries? Firm-Level Evidence on the Intensive and Extensive Margins of Exports," IDB Publications (Working Papers) 36763, Inter-American Development Bank.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. 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.
    5. Giorgio Brunello & Lorenzo Rocco, 2008. "Educational Standards in Private and Public Schools," Economic Journal, Royal Economic Society, vol. 118(533), pages 1866-1887, November.
    6. Robert G. Valletta & K. Jody Hoff & Jane S. Lopus, 2014. "Lost In Translation? Teacher Training And Outcomes In High School Economics Classes," Contemporary Economic Policy, Western Economic Association International, vol. 32(4), pages 695-709, October.
    7. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    8. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    9. Grit Muehler & Michael Beckmann & Bernd Schauenberg, 2007. "The returns to continuous training in Germany: new evidence from propensity score matching estimators," Review of Managerial Science, Springer, vol. 1(3), pages 209-235, November.
    10. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.
    11. Stefanie Fischer, 2016. "The Downside of Good Peers: How Classroom Composition Differentially Affects Men’s and Women’s STEM Persistence," Working Papers 1605, California Polytechnic State University, Department of Economics.
    12. Sass, Tim R. & Hannaway, Jane & Xu, Zeyu & Figlio, David N. & Feng, Li, 2012. "Value added of teachers in high-poverty schools and lower poverty schools," Journal of Urban Economics, Elsevier, vol. 72(2), pages 104-122.
    13. Berlingieri, Francesco & Zierahn, Ulrich, 2014. "Field of study, qualification mismatch, and wages: Does sorting matter?," ZEW Discussion Papers 14-076, ZEW - Leibniz Centre for European Economic Research.
    14. Fischer, Stefanie, 2017. "The downside of good peers: How classroom composition differentially affects men's and women's STEM persistence," Labour Economics, Elsevier, vol. 46(C), pages 211-226.
    15. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    16. Roychowdhury, Punarjit, 2021. "(Em)Powered by Science? Estimating the Relative Labor Market Returns to Majoring in Science in High School in India," Economics of Education Review, Elsevier, vol. 82(C).
    17. 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).
    18. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    19. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    20. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.

    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:sae:amerec:v:57:y:2012:i:1:p:1-20. 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: SAGE Publications (email available below). General contact details of provider: http://journals.sagepub.com/home/aex .

    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.