IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-20190701-35-2-01.html
   My bibliography  Save this article

Within-District School Lotteries, District Selection, and the Average Partial Effects of School Inputs

Author

Listed:
  • Eleanor Jawon Choi

    (Hanyang University)

  • Hyungsik Roger Moon

    (University of Southern California)

  • Geert Ridder

    (University of Southern California)

Abstract

This study proposes an econometric framework to consistently estimate the average partial effects (APE) of school inputs on academic achievement when students are randomly assigned to schools within each school district but endogenously sort across school districts. We illustrate our method by estimating the APE of single-sex schooling and class size on standardized test scores using data from Seoul, Korea in the period of 2008-2009. Our APE estimates are smaller than the estimates from conventional linear regressions with school district fixed effects, which do not fully correct for endogenous district choice and thus suffer from selection bias.

Suggested Citation

  • Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2019. "Within-District School Lotteries, District Selection, and the Average Partial Effects of School Inputs," Korean Economic Review, Korean Economic Association, vol. 35, pages 275-306.
    • Handle: RePEc:kea:keappr:ker-20190701-35-2-01
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-20190701-35-2-01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jackson, C. Kirabo, 2012. "Single-sex schools, student achievement, and course selection: Evidence from rule-based student assignments in Trinidad and Tobago," Journal of Public Economics, Elsevier, vol. 96(1), pages 173-187.
    2. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    3. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    4. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    5. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    6. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    7. Soohyung Lee & Lesley J. Turner & Seokjin Woo & Kyunghee Kim, 2014. "All or Nothing? The Impact of School and Classroom Gender Composition on Effort and Academic Achievement," NBER Working Papers 20722, National Bureau of Economic Research, Inc.
    8. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    9. Christopher Jepsen, 2015. "Class size: Does it matter for student achievement?," IZA World of Labor, Institute of Labor Economics (IZA), pages 190-190, September.
    10. Hunt Allcott, 2015. "Site Selection Bias in Program Evaluation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1117-1165.
    11. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    12. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    13. Han, Joseph & Ryu, Keunkwan, 2017. "Effects of class size reduction in upper grades: Evidence from Seoul, Korea," Economics of Education Review, Elsevier, vol. 60(C), pages 68-85.
    14. Hahn, Youjin & Wang, Liang Choon & Yang, Hee-Seung, 2018. "Does greater school autonomy make a difference? Evidence from a randomized natural experiment in South Korea," Journal of Public Economics, Elsevier, vol. 161(C), pages 15-30.
    15. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    16. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    17. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    18. Joseph G. Altonji & Richard K. Mansfield, 2014. "Group-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: the Case of School and Neighborhood Effects," NBER Working Papers 20781, National Bureau of Economic Research, Inc.
    19. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    20. Joseph Hotz, V. & Imbens, Guido W. & Mortimer, Julie H., 2005. "Predicting the efficacy of future training programs using past experiences at other locations," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 241-270.
    21. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    22. Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2014. "Estimation of an Education Production Function under Random Assignment with Selection," American Economic Review, American Economic Association, vol. 104(5), pages 206-211, May.
    23. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    24. Choi, Jaesung & Park, Hyunjoon & Behrman, Jere R., 2015. "Separating boys and girls and increasing weight? Assessing the impacts of single-sex schools through random assignment in Seoul," Social Science & Medicine, Elsevier, vol. 134(C), pages 1-11.
    25. Sohn, Hosung, 2016. "Mean and distributional impact of single-sex high schools on students’ cognitive achievement, major choice, and test-taking behavior: Evidence from a random assignment policy in Seoul, Korea," Economics of Education Review, Elsevier, vol. 52(C), pages 155-175.
    26. Chingos, Matthew M., 2012. "The impact of a universal class-size reduction policy: Evidence from Florida's statewide mandate," Economics of Education Review, Elsevier, vol. 31(5), pages 543-562.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    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. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    2. Stephen Gibbons & Sandra McNally, 2013. "The Effects of Resources Across School Phases: A Summary of Recent Evidence," CEP Discussion Papers dp1226, Centre for Economic Performance, LSE.
    3. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    4. Pascal Bressoux & Francis Kramarz & Corinne Prost, 2009. "Teachers’ Training, Class Size and Students’ Outcomes: Learning from Administrative Forecasting Mistakes," Economic Journal, Royal Economic Society, vol. 119(536), pages 540-561, March.
    5. Masakazu Hojo, 2011. "Education Production Function and Class-Size Effects in Japanese Public Schools," Global COE Hi-Stat Discussion Paper Series gd11-194, Institute of Economic Research, Hitotsubashi University.
    6. Nadir Altinok & Geeta Kingdon, 2012. "New Evidence on Class Size Effects: A Pupil Fixed Effects Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 203-234, April.
    7. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    8. Christopher Jepsen, 2015. "Class size: Does it matter for student achievement?," IZA World of Labor, Institute of Labor Economics (IZA), pages 190-190, September.
    9. Ludger Wößmann, 2005. "Kleinere Klassen = bessere Leistungen?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(17), pages 06-15, September.
    10. Nadir Altinok & Geeta Kingdon, 2009. "New Evidence on Class Size Effects: A Pupil Fixed Effects Approach," Post-Print halshs-00417229, HAL.
    11. Carrell, Scott E. & Hoekstra, Mark, 2014. "Are school counselors an effective education input?," Economics Letters, Elsevier, vol. 125(1), pages 66-69.
    12. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    13. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    14. Lee, Youngju & Nakazawa, Nobuhiko, 2022. "Does single-sex schooling help or hurt labor market outcomes? Evidence from a natural experiment in South Korea," Journal of Public Economics, Elsevier, vol. 214(C).
    15. Cho, Hyunkuk & Glewwe, Paul & Whitler, Melissa, 2012. "Do reductions in class size raise students’ test scores? Evidence from population variation in Minnesota's elementary schools," Economics of Education Review, Elsevier, vol. 31(3), pages 77-95.
    16. Kugler Franziska & Schwerdt Guido & Wößmann Ludger, 2014. "Ökonometrische Methoden zur Evaluierung kausaler Effekte der Wirtschaftspolitik," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(2), pages 105-132, June.
    17. Matthew M. Chingos & Kenneth A. Couch, 2013. "Class Size and Student Outcomes: Research and Policy Implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 411-438, March.
    18. Giacomo De Giorgi & Michele Pellizzari & William Gui Woolston, 2012. "Class Size And Class Heterogeneity," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 795-830, August.
    19. Anne Ardila Brenøe & Ulf Zölitz, 2020. "Exposure to More Female Peers Widens the Gender Gap in STEM Participation," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1009-1054.
    20. Cohen-Zada, Danny & Gradstein, Mark & Reuven, Ehud, 2013. "Allocation of students in public schools: Theory and new evidence," Economics of Education Review, Elsevier, vol. 34(C), pages 96-106.

    More about this item

    Keywords

    Average Partial Effect; Within-District School Lottery; Selection; Treatment Effect Heterogeneity; Education Production;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:kea:keappr:ker-20190701-35-2-01. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.html .

    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.