IDEAS home Printed from https://ideas.repec.org/p/ags/yaleeg/28524.html
   My bibliography  Save this paper

Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data

Author

Listed:
  • Boozer, Michael A.
  • Cacciola, Stephen E.

Abstract

The credible identification of endogenous peer group effects- i.e. social multiplier or feedback effects -has long eluded social scientists. We argue that such effects are most credibly identified by a randomly assigned social program which operates at differing intensities within and between peer groups. The data we use are from Project STAR, a class size reduction experiment conducted in Tennessee elementary schools. In these data, classes were comprised of varying fractions of students who had previously been exposed to the Small class treatment, creating class groupings of varying experimentally induced quality. We use this variation in class group quality to estimate the spillover effect. We find that when allowance is made for this 'feedback' effect of prior exposure to the Small class treatment, the peer effects account for much of the total experimental effects in the later grades, and the direct class size effects are rendered substantially smaller.

Suggested Citation

  • Boozer, Michael A. & Cacciola, Stephen E., 2001. "Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data," Center Discussion Papers 28524, Yale University, Economic Growth Center.
  • Handle: RePEc:ags:yaleeg:28524
    DOI: 10.22004/ag.econ.28524
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/28524/files/dp010832.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.28524?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. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    2. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    3. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    4. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
    5. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    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. Michael A. Boozer & Stephen E. Cacciola, 2001. "Inside the 'Black Box' of Project STAR: Estimation of Peer Effects Using Experimental Data," Working Papers 832, Economic Growth Center, Yale University.
    2. Nicole Schneeweis & Rudolf Winter-Ebmer, 2008. "Peer effects in Austrian schools," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 133-155, Springer.
    3. Raphaël Soubeyran, 2019. "Technology adoption and pro-social preferences," CEE-M Working Papers halshs-02291905, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    4. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    5. Alexandra E. Hill & Jesse Burkhardt, 2021. "Peers in the Field: The Role of Ability and Gender in Peer Effects among Agricultural Workers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 790-811, May.
    6. John Lynham, 2017. "Identifying Peer Effects Using Gold Rushers," Land Economics, University of Wisconsin Press, vol. 93(3), pages 527-548.
    7. Machikita, Tomohiro, 2006. "Are Job Networks Localized in a Developing Economy? Search Methods for Displaced Workers in Thailand," IDE Discussion Papers 84, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    8. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2011. "Sixty Years after the Magic Carpet Ride: The Long-Run Effect of the Early Childhood Environment on Social and Economic Outcomes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 938-973.
    9. Emerick, Kyle & Kelley, Erin & De Janvry, Alain & Sadoulet, Elisabeth, 2019. "Endogenous Information Sharing and the Gains from Using Network Information to Maximize Technology Adoption," CEPR Discussion Papers 13507, C.E.P.R. Discussion Papers.
    10. Boustan, Leah Platt, 2009. "Competition in the Promised Land: Black Migration and Racial Wage Convergence in the North, 1940–1970," The Journal of Economic History, Cambridge University Press, vol. 69(3), pages 755-782, September.
    11. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    12. Jackson, Erika & Page, Marianne E., 2013. "Estimating the distributional effects of education reforms: A look at Project STAR," Economics of Education Review, Elsevier, vol. 32(C), pages 92-103.
    13. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    14. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
    15. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    16. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," Working Papers hal-03459820, HAL.
    17. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    18. repec:spo:wpmain:info:hdl:2441/78vacv4udu92eq3fec89svm9uv is not listed on IDEAS
    19. Michael Bailey & Drew Johnston & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2022. "Peer Effects in Product Adoption," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 488-526, July.
    20. Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP58/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).

    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:ags:yaleeg:28524. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/egyalus.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.