IDEAS home Printed from https://ideas.repec.org/a/wly/jpamgt/v39y2020i3p740-771.html
   My bibliography  Save this article

Lessons from New York City's Small Schools of Choice about High School Features that Promote Graduation for Disadvantaged Students

Author

Listed:
  • Howard S. Bloom
  • Rebecca Unterman
  • Pei Zhu
  • Sean F. Reardon

Abstract

The present paper uses a rich dataset based on naturally‐occurring lotteries for 68 new small non‐selective high schools in New York City, which we refer to as small schools of choice (SSCs), to address two related questions: (1) What high school features are promising levers for increasing graduation rates for disadvantaged students? and (2) What high school features helped to produce SSCs’ positive impacts on graduation rates? Our findings provide suggestive evidence that school leadership quality, teacher empowerment, teacher mutual support, teacher evaluation and feedback, teacher professional development, data‐driven instruction, teacher/parent communication, academic rigor, personalized learning, and teacher/student respect are promising levers for increasing graduation rates for disadvantaged students. Our findings also provide suggestive evidence that many of these school features explain part of the total average SSC effect on graduation rates, although most of this average effect remains unexplained. Lastly, our findings indicate that SSCs are clearly distinguishable from their counterfactual counterparts in terms of school features that were emphasized by SSC funders.

Suggested Citation

  • Howard S. Bloom & Rebecca Unterman & Pei Zhu & Sean F. Reardon, 2020. "Lessons from New York City's Small Schools of Choice about High School Features that Promote Graduation for Disadvantaged Students," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 740-771, June.
  • Handle: RePEc:wly:jpamgt:v:39:y:2020:i:3:p:740-771
    DOI: 10.1002/pam.22192
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/pam.22192
    Download Restriction: no

    File URL: https://libkey.io/10.1002/pam.22192?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. Richard J. Murnane, 2013. "U.S. High School Graduation Rates: Patterns and Explanations," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 370-422, June.
    2. Howard S. Bloom & Rebecca Unterman, 2014. "Can Small High Schools of Choice Improve Educational Prospects for Disadvantaged Students?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(2), pages 290-319, March.
    3. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
    4. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, October.
    5. Claudia Goldin & Lawrence F. Katz, 2008. "Transitions: Career and Family Life Cycles of the Educational Elite," American Economic Review, American Economic Association, vol. 98(2), pages 363-369, May.
    6. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    7. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    8. Benjamin Elsner & Ingo E. Isphording, 2017. "A Big Fish in a Small Pond: Ability Rank and Human Capital Investment," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 787-828.
    9. C. Kirabo Jackson, 2018. "Does School Spending Matter? The New Literature on an Old Question," NBER Working Papers 25368, National Bureau of Economic Research, Inc.
    10. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
    11. Michael J. Weiss & Howard S. Bloom & Thomas Brock, 2014. "A Conceptual Framework For Studying The Sources Of Variation In Program Effects," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(3), pages 778-808, June.
    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. Benjamin Lu & Eli Ben-Michael & Avi Feller & Luke Miratrix, 2023. "Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 420-453, August.
    2. Elert, Niklas & Henrekson, Magnus, 2023. "The Profit Motive in the Classroom - Friend or Foe?," IZA Discussion Papers 16301, Institute of Labor Economics (IZA).
    3. Xu Qin & Jonah Deutsch & Guanglei Hong, 2021. "Unpacking Complex Mediation Mechanisms And Their Heterogeneity Between Sites In A Job Corps Evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 158-190, January.

    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. Sean F. Reardon & Fatih Unlu & Pei Zhu & Howard S. Bloom, 2014. "Bias and Bias Correction in Multisite Instrumental Variables Analysis of Heterogeneous Mediator Effects," Journal of Educational and Behavioral Statistics, , vol. 39(1), pages 53-86, February.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    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. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    5. Kadir Atalay & Garry F. Barrett & Peter Siminski, 2019. "Pension incentives and the joint retirement of couples: evidence from two natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 735-767, July.
    6. Vincent Aidan O'Sullivan, 2016. "The effect of military service on earnings in Britain," Working Papers 125437295, Lancaster University Management School, Economics Department.
    7. Timothy F. Harris & Aaron Yelowitz, 2018. "Life Insurance Holdings And Well‐Being Of Surviving Spouses," Contemporary Economic Policy, Western Economic Association International, vol. 36(3), pages 526-538, July.
    8. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    9. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    10. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    11. Martinez, Isabel Z., 2016. "Beggar-Thy-Neighbour Tax Cuts: Mobility after a Local Income and Wealth Tax Reform in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145643, Verein für Socialpolitik / German Economic Association.
    12. Matthew A. Kraft, 2014. "How to Make Additional Time Matter: Integrating Individualized Tutorials into an Extended Day," Education Finance and Policy, MIT Press, vol. 10(1), pages 81-116, November.
    13. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    14. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    15. Martínez, Isabel Z., 2022. "Mobility responses to the establishment of a residential tax haven: Evidence from Switzerland," Journal of Urban Economics, Elsevier, vol. 129(C).
    16. Rosolia, Alfonso & Cipollone, Piero, 2011. "Schooling and Youth Mortality: Learning from a Mass Military Exemption," CEPR Discussion Papers 8431, C.E.P.R. Discussion Papers.
    17. Peter Siminski & Simon Ville & Alexander Paull, 2016. "Does the military turn men into criminals? New evidence from Australia’s conscription lotteries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 197-218, January.
    18. Benmelech, Efraim & Frydman, Carola, 2015. "Military CEOs," Journal of Financial Economics, Elsevier, vol. 117(1), pages 43-59.
    19. Jens Ludwig & Jeffrey R. Kling & Sendhil Mullainathan, 2011. "Mechanism Experiments and Policy Evaluations," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 17-38, Summer.
    20. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).

    More about this item

    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:wly:jpamgt:v:39:y:2020:i:3:p:740-771. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/34787/home .

    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.