IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/23-24.html
   My bibliography  Save this paper

Exploiting discontinuities in secondary school attendance to evaluate value added

Author

Listed:
  • Jack Britton

    (Institute for Fiscal Studies)

  • Damon Clark

    (Institute for Fiscal Studies)

  • Ines Lee

    (Institute for Fiscal Studies)

Abstract

No abstract is available for this item.

Suggested Citation

  • Jack Britton & Damon Clark & Ines Lee, 2023. "Exploiting discontinuities in secondary school attendance to evaluate value added," IFS Working Papers W23/24, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:23/24
    as

    Download full text from publisher

    File URL: https://ifs.org.uk/sites/default/files/2023-09/WP202324-Exploiting-discontinuities-in-secondary-school-attendance-to-evaluate-value-added_0.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    2. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    3. Joshua Angrist & Peter Hull & Christopher R. Walters, 2022. "Methods for Measuring School Effectiveness," NBER Working Papers 30803, National Bureau of Economic Research, Inc.
    4. David J. Deming, 2014. "Using School Choice Lotteries to Test Measures of School Effectiveness," American Economic Review, American Economic Association, vol. 104(5), pages 406-411, May.
    5. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    6. Ellen Greaves & Iftikhar Hussain & Birgitta Rabe & Imran Rasul, 2023. "Parental Responses to Information about School Quality: Evidence from Linked Survey and Administrative Data," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2334-2402.
    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. 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.
    2. Hinnerich, Björn Tyrefors & Vlachos, Jonas, 2017. "The impact of upper-secondary voucher school attendance on student achievement. Swedish evidence using external and internal evaluations," Labour Economics, Elsevier, vol. 47(C), pages 1-14.
    3. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    4. Naven, Matthew & Whalen, Daniel, 2022. "The signaling value of university rankings: Evidence from top 14 law schools," Economics of Education Review, Elsevier, vol. 89(C).
    5. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    6. Bruhn, Jesse & Imberman, Scott & Winters, Marcus, 2022. "Regulatory arbitrage in teacher hiring and retention: Evidence from Massachusetts Charter Schools," Journal of Public Economics, Elsevier, vol. 215(C).
    7. Naven, Matthew, 2019. "Human-Capital Formation During Childhood and Adolescence: Evidence from School Quality and Postsecondary Success in California," MPRA Paper 97716, University Library of Munich, Germany.
    8. Naven, Matthew, 2020. "Within-School Heterogeneity in Quality: Do Schools Provide Equal Value Added to All Students?," MPRA Paper 100123, University Library of Munich, Germany.
    9. Bar, M.; & Bakx, P.; & Wouterse, B.; & van Doorslaer, Eddy.;, 2022. "Estimating the health value added by nursing homes," Health, Econometrics and Data Group (HEDG) Working Papers 22/12, HEDG, c/o Department of Economics, University of York.
    10. Robert Ainsworth & Rajeev Dehejia & Cristian Pop-Eleches & Miguel Urquiola, 2023. "Why Do Households Leave School Value Added on the Table? The Roles of Information and Preferences," American Economic Review, American Economic Association, vol. 113(4), pages 1049-1082, April.
    11. Lee Crawfurd, 2017. "School Management and Public–Private Partnerships in Uganda," Journal of African Economies, Centre for the Study of African Economies, vol. 26(5), pages 539-560.
    12. Lars J. Kirkebøen, 2021. "School value-added and longterm student outcomes," Discussion Papers 970, Statistics Norway, Research Department.
    13. Jean-William Laliberté, "undated". "Long-term Contextual Effects in Education: Schools and Neighborhoods," Working Papers 2019-01, Department of Economics, University of Calgary.
    14. Bär, Marlies & Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy, 2022. "Estimating the health value added by nursing homes," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 1-23.
    15. Joshua Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2016. "Interpreting Tests of School VAM Validity," American Economic Review, American Economic Association, vol. 106(5), pages 388-392, May.
    16. Adam J. Kapor & Christopher A. Neilson & Seth D. Zimmerman, 2020. "Heterogeneous Beliefs and School Choice Mechanisms," American Economic Review, American Economic Association, vol. 110(5), pages 1274-1315, May.
    17. Hanley Chiang & Stephen Lipscomb & Brian Gill, 2014. "Is School Value Added Indicative of Principal Quality?," Mathematica Policy Research Reports a11ab111ac3a497885e0a736f, Mathematica Policy Research.
    18. Hanley Chiang & Stephen Lipscomb & Brian Gill, 2016. "Is School Value Added Indicative of Principal Quality?," Education Finance and Policy, MIT Press, vol. 11(3), pages 283-309, Summer.
    19. Andrew McEachin & Allison Atteberry, 2017. "The Impact of Summer Learning Loss on Measures of School Performance," Education Finance and Policy, MIT Press, vol. 12(4), pages 468-491, Fall.
    20. Raj Chetty & John N. Friedman & Jonah Rockoff, 2016. "Using Lagged Outcomes to Evaluate Bias in Value-Added Models," American Economic Review, American Economic Association, vol. 106(5), pages 393-399, May.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ifs:ifsewp:23/24. 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.