IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v97y2023ics0272775723001127.html
   My bibliography  Save this article

Improving public school productivity: Evidence from model schools in India

Author

Listed:
  • Kumar, G. Naveen

Abstract

This paper studies the impact of India’s “model” school program which aimed to provide high quality education to economically disadvantaged students. Model schools combine better infrastructure with more accountability, contract teachers, and lower per-pupil spending than regular public schools. Using a fuzzy Regression Discontinuity Design based on entrance exam cutoffs, I find attending a model school for five years increases test scores in math by 0.38 standard deviations, in science by 0.26 sd, and in social science by 0.26 sd on average. Furthermore, model schools increase the probability of joining pre-university by 11.5 percentage points. The results suggest it is possible to deliver substantial improvement of outcomes in public schools at a slightly lower level of school spending through a package of reforms.

Suggested Citation

  • Kumar, G. Naveen, 2023. "Improving public school productivity: Evidence from model schools in India," Economics of Education Review, Elsevier, vol. 97(C).
    • Handle: RePEc:eee:ecoedu:v:97:y:2023:i:c:s0272775723001127
    DOI: 10.1016/j.econedurev.2023.102465
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775723001127
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econedurev.2023.102465?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
    ---><---

    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. Jeffrey R. Kling & Jens Ludwig & Lawrence F. Katz, 2005. "Neighborhood Effects on Crime for Female and Male Youth: Evidence from a Randomized Housing Voucher Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 87-130.
    2. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    3. Adrienne M. Lucas & Isaac M. Mbiti, 2014. "Effects of School Quality on Student Achievement: Discontinuity Evidence from Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 234-263, July.
    4. Petia Topalova, 2007. "Trade Liberalization, Poverty and Inequality: Evidence from Indian Districts," NBER Chapters, in: Globalization and Poverty, pages 291-336, National Bureau of Economic Research, Inc.
    5. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    6. Bouguen, Adrien & Huang, Yue & Kremer, Michael & Miguel, Edward, 2018. "Using Rcts to Estimate Long-Run Impacts in Development Economics," Department of Economics, Working Paper Series qt4sk6c4f7, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Zovanga L Kone & Maggie Y Liu & Aaditya Mattoo & Caglar Ozden & Siddharth Sharma, 2018. "Internal borders and migration in India," Journal of Economic Geography, Oxford University Press, vol. 18(4), pages 729-759.
    8. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    9. David K. Evans & Fei Yuan, 2020. "How Big Are Effect Sizes in International Education Studies?," Working Papers 545, Center for Global Development, revised 01 Apr 2022.
    10. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    11. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    12. Kaivan Munshi & Mark Rosenzweig, 2016. "Networks and Misallocation: Insurance, Migration, and the Rural-Urban Wage Gap," American Economic Review, American Economic Association, vol. 106(1), pages 46-98, January.
    13. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    14. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    15. Mehtabul Azam & Aimee Chin & Nishith Prakash, 2013. "The Returns to English-Language Skills in India," Economic Development and Cultural Change, University of Chicago Press, vol. 61(2), pages 335-367.
    16. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    17. Karthik Muralidharan & Venkatesh Sundararaman, 2011. "Teacher Performance Pay: Experimental Evidence from India," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 39-77.
    18. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "Contract Teachers: Experimental Evidence from India," NBER Working Papers 19440, National Bureau of Economic Research, Inc.
    19. Chakraborty, Tanika & Bakshi, Shilpi Kapur, 2016. "English language premium: Evidence from a policy experiment in India," Economics of Education Review, Elsevier, vol. 50(C), pages 1-16.
    20. Surendrakumar Bagde & Dennis Epple & Lowell Taylor, 2016. "Does Affirmative Action Work? Caste, Gender, College Quality, and Academic Success in India," American Economic Review, American Economic Association, vol. 106(6), pages 1495-1521, June.
    21. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    22. Karthik Muralidharan & Venkatesh Sundararaman, 2015. "Editor's Choice The Aggregate Effect of School Choice: Evidence from a Two-Stage Experiment in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1011-1066.
    23. Isaac Mbiti & Karthik Muralidharan & Mauricio Romero & Youdi Schipper & Constantine Manda & Rakesh Rajani, 2019. "Inputs, Incentives, and Complementarities in Education: Experimental Evidence from Tanzania," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1627-1673.
    24. Kausik Chaudhuri & Susmita Roy, 2009. "Gender gap in educational attainment: evidence from rural India," Education Economics, Taylor & Francis Journals, vol. 17(2), pages 215-238.
    25. Beuermann, Diether & Jackson, C. Kirabo, 2018. "Do Parents Know Best?: The Short and Long-Run Effects of Attending The Schools that Parents Prefer," IDB Publications (Working Papers) 9083, Inter-American Development Bank.
    26. Datta, Sandip & Kingdon, Geeta G., 2019. "Gender Bias in Intra-Household Allocation of Education in India: Has It Fallen over Time?," IZA Discussion Papers 12671, Institute of Labor Economics (IZA).
    27. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    28. Isaac M. Mbiti, 2016. "The Need for Accountability in Education in Developing Countries," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 109-132, Summer.
    29. C. Kirabo Jackson, 2010. "Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago," Economic Journal, Royal Economic Society, vol. 120(549), pages 1399-1429, December.
    30. Park, Albert & Shi, Xinzheng & Hsieh, Chang-tai & An, Xuehui, 2015. "Magnet high schools and academic performance in China: A regression discontinuity design," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 825-843.
    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. Naveen Kumar, 2019. "Public Schools Can Improve Student Outcomes: Evidence from a Natural Experiment in India," 2019 Papers pku634, Job Market Papers.
    2. Anderson, Kathryn & Gong, Xue & Hong, Kai & Zhang, Xi, 2016. "Do selective high schools improve student achievement? Effects of exam schools in China," China Economic Review, Elsevier, vol. 40(C), pages 121-134.
    3. Park, Albert & Shi, Xinzheng & Hsieh, Chang-tai & An, Xuehui, 2015. "Magnet high schools and academic performance in China: A regression discontinuity design," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 825-843.
    4. Huang, Bin & Li, Bo & Walker, Ian & Zhu, Yu, 2022. "Does It Pay to Attend More Selective High Schools? Regression Discontinuity Evidence from China," IZA Discussion Papers 15756, Institute of Labor Economics (IZA).
    5. Sabrin Beg & Waqas Halim & Adrienne M. Lucas & Umar Saif, 2022. "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 61-90, May.
    6. Cáceres-Delpiano, Julio & Giolito, Eugenio, 2018. "Minimum Age Requirements and the Impact of School Choice," IZA Discussion Papers 11420, Institute of Labor Economics (IZA).
    7. Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2017. "Cognitive, socioemotional, and behavioural returns to college quality," WIDER Working Paper Series wp-2017-94, World Institute for Development Economic Research (UNU-WIDER).
    8. Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2022. "Effects of Peers and Rank on Cognition, Preferences, and Personality," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 587-601, May.
    9. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2017. "Cognitive, Socioemotional and Behavioral Returns to College Quality," IZA Discussion Papers 10701, Institute of Labor Economics (IZA).
    10. Miguel Urquiola, 2015. "Progress and challenges in achieving an evidence-based education policy in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-30, December.
    11. Mark Hoekstra & Pierre Mouganie & Yaojing Wang, 2018. "Peer Quality and the Academic Benefits to Attending Better Schools," Journal of Labor Economics, University of Chicago Press, vol. 36(4), pages 841-884.
    12. Diether W Beuermann & C Kirabo Jackson & Laia Navarro-Sola & Francisco Pardo, 2023. "What is a Good School, and Can Parents Tell? Evidence on the Multidimensionality of School Output," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 65-101.
    13. Julio Cáceres-Delpiano & Eugenio Giolito, 2023. "Minimum age requirements and the role of the school choice set," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(1), pages 63-103, March.
    14. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    15. Zhang, Hongliang, 2016. "Identification of treatment effects under imperfect matching with an application to Chinese elite schools," Journal of Public Economics, Elsevier, vol. 142(C), pages 56-82.
    16. Karthik Muralidharan & Paul Niehaus, 2017. "Experimentation at Scale," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 103-124, Fall.
    17. Gazeaud, Jules & Ricard, Claire, 2024. "Learning effects of conditional cash transfers: The role of class size and composition," Journal of Development Economics, Elsevier, vol. 166(C).
    18. Jere R. Behrman & C. Simon Fan & Naijia Guo & Xiangdong Wei & Hongliang Zhang & Junsen Zhang, 2024. "Tutoring Efficacy, Household Substitution, And Student Achievement: Experimental Evidence From An After‐School Tutoring Program In Rural China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 149-189, February.
    19. Islam, Asad, 2019. "Parent–teacher meetings and student outcomes: Evidence from a developing country," European Economic Review, Elsevier, vol. 111(C), pages 273-304.
    20. Estrada, Ricardo & Gignoux, Jérémie, 2017. "Benefits to elite schools and the expected returns to education: Evidence from Mexico City," European Economic Review, Elsevier, vol. 95(C), pages 168-194.

    More about this item

    Keywords

    Education quality; Education policy; School productivity; Public school; India;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:eee:ecoedu:v:97:y:2023:i:c:s0272775723001127. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.