IDEAS home Printed from https://ideas.repec.org/a/zbw/kdijep/v38y2016i3p1-16.html

Autonomy, Incentives, and School Performance: Evidence from the 2009 Autonomous Private High School Policy in Korea

Author

Listed:
  • Park, Yoon Soo

Abstract

Improving the quality of school education is one of the key policy concerns in Korea. This paper examines whether providing schools with adequate autonomy and incentives can meet the policy goals by looking at a recent policy reform in Korea. In 2009, the Korean government granted autonomy to certain private high schools on the condition that no financial subsidies would be provided to the schools. Because the autonomous private high schools cannot receive a subsidy, they have a strong incentive to meet parental demands because schools failing to meet these demands will lose students and will have to close. Applying the value-added model to longitudinal data at the student level, I find that students entering these autonomous schools show faster growth in their academic achievement than their peers in traditional non-autonomous schools. These results suggest that providing schools with autonomy and incentives can be a useful policy tool for improving school education.

Suggested Citation

  • Park, Yoon Soo, 2016. "Autonomy, Incentives, and School Performance: Evidence from the 2009 Autonomous Private High School Policy in Korea," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 38(3), pages 1-15.
  • Handle: RePEc:zbw:kdijep:v:38:y:2016:i:3:p:1-16
    DOI: 10.23895/kdijep.2016.38.3.1
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/200791/1/kdi-jep-38-3-1.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.23895/kdijep.2016.38.3.1?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. Felipe Barrera-Osorio & Tazeen Fasih & Harry Anthony Patrinos & Lucrecia Santibáñez, 2009. "Decentralized Decision-making in Schools : The Theory and Evidence on School-based Management," World Bank Publications - Books, The World Bank Group, number 2632, April.
    2. Deockhyun Ryu & Changhui Kang, 2013. "Do Private Tutoring Expenditures Raise Academic Performance? Evidence from Middle School Students in South Korea," Asian Economic Journal, East Asian Economic Association, vol. 27(1), pages 59-83, March.
    3. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    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. Hoyong Jung, 2024. "Peer Effects on Self-regulated Study: Evidence from Randomly Assigned Classrooms in South Korea," Korean Economic Review, Korean Economic Association, vol. 40, pages 349-369.

    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. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    2. Ben Kelcey & Zuchao Shen & Jessaca Spybrook, 2016. "Intraclass Correlation Coefficients for Designing Cluster-Randomized Trials in Sub-Saharan Africa Education," Evaluation Review, , vol. 40(6), pages 500-525, December.
    3. Scott A. Imberman, 2011. "Achievement and Behavior in Charter Schools: Drawing a More Complete Picture," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 416-435, May.
    4. Fali Huang, 2006. "What Matter for Child Development?," Working Papers 24-2006, Singapore Management University, School of Economics.
    5. Marta Favara & Catherine Porter & Tassew Woldehanna, 2019. "Smarter through social protection? Evaluating the impact of Ethiopia’s safety-net on child cognitive abilities," Oxford Development Studies, Taylor & Francis Journals, vol. 47(1), pages 79-96, January.
    6. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    7. Andrea M. Mühlenweg & Franz G. Westermaier & Brant Morefield, 2016. "Parental health and child behavior: evidence from parental health shocks," Review of Economics of the Household, Springer, vol. 14(3), pages 577-598, September.
    8. Jere R. Behrman & John Hoddinott & John A. Maluccio, & Erica Soler-Hampejsek & Emily L. Behrman & Reynaldo Martorell & Manuel Ramirez-Zea & Aryeh D. Stein, 2006. "What Determines Adult Cognitive Skills? Impacts of Pre-Schooling, Schooling and Post-Schooling Experiences in Guatemala," PIER Working Paper Archive 06-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    9. Michael F. Lovenheim & Randall Reback & Leigh Wedenoja, 2016. "How Does Access to Health Care Affect Teen Fertility and High School Dropout Rates? Evidence from School-based Health Centers," NBER Working Papers 22030, National Bureau of Economic Research, Inc.
    10. James Berry, 2015. "Child Control in Education Decisions: An Evaluation of Targeted Incentives to Learn in India," Journal of Human Resources, University of Wisconsin Press, vol. 50(4), pages 1051-1080.
    11. Neilson, Christopher A. & Zimmerman, Seth D., 2014. "The effect of school construction on test scores, school enrollment, and home prices," Journal of Public Economics, Elsevier, vol. 120(C), pages 18-31.
    12. Shelly Lundberg, 2013. "The College Type: Personality and Educational Inequality," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 421-441.
    13. Singh, Abhijeet & Romero, Mauricio & Muralidharan, Karthik, 2024. "COVID-19 Learning loss and recovery," University of California at San Diego, Economics Working Paper Series qt3jj1b8hb, Department of Economics, UC San Diego.
    14. Daniela Del Boca & Chiara Monfardini & Cheti Nicoletti, 2012. "Self investments of adolescents and their cognitive development," Discussion Papers 12/24, Department of Economics, University of York.
    15. Atuhurra, Julius F., 2016. "Does community involvement affect teacher effort? Assessing learning impacts of Free Primary Education in Kenya," International Journal of Educational Development, Elsevier, vol. 49(C), pages 234-246.
    16. Zurab Abramishvili, 2017. "An Impact Evaluation of Mass Replacement of School Principals in Georgia," Working Papers 006-17 JEL Codes: H4, I21, International School of Economics at TSU, Tbilisi, Republic of Georgia.
    17. Ronni Pavan, 2016. "On the Production of Skills and the Birth-Order Effect," Journal of Human Resources, University of Wisconsin Press, vol. 51(3), pages 699-726.
    18. Hoang, Thu, 2025. "The effect of home countrys income on immigrant-origin childrens education: Evidence from Australia," Warwick-Monash Economics Student Papers 84, Warwick Monash Economics Student Papers.
    19. Fang, Xiangming & Tarui, Nori, 2015. "Child Maltreatment, Family Characteristics, and Educational Attainment: Evidence from Add Health Data," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205319, Agricultural and Applied Economics Association.
    20. Sass, Tim R. & Semykina, Anastasia & Harris, Douglas N., 2014. "Value-added models and the measurement of teacher productivity," Economics of Education Review, Elsevier, vol. 38(C), pages 9-23.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:zbw:kdijep:v:38:y:2016:i:3:p:1-16. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/kdiiikr.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.