IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/17402.html
   My bibliography  Save this paper

The Impact of Youth Service on Future Outcomes: Evidence from Teach For America

Author

Listed:
  • Will Dobbie
  • Roland G. Fryer, Jr

Abstract

Nearly one million American youth have participated in service programs such as Peace Corps and Teach For America. This paper provides the first causal estimate of the impact of service programs on those who serve, using data from a web-based survey of former Teach For America applicants. We estimate the effect of voluntary youth service using a sharp discontinuity in the Teach For America application process. Participating in Teach For America increases racial tolerance, makes individuals more optimistic about the life chances of poor children, and makes them more likely to work in education. We argue that these facts are broadly consistent with the "Contact Hypothesis," which states that, under appropriate conditions, interpersonal contact can reduce prejudice.

Suggested Citation

  • Will Dobbie & Roland G. Fryer, Jr, 2011. "The Impact of Youth Service on Future Outcomes: Evidence from Teach For America," NBER Working Papers 17402, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17402
    Note: ED LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w17402.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven Glazerman & Daniel Mayer & Paul Decker, 2006. "Alternative routes to teaching: The impacts of Teach for America on student achievement and other outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(1), pages 75-96.
    2. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 591-634.
    3. David Card & Alexandre Mas & Jesse Rothstein, 2008. "Tipping and the Dynamics of Segregation," The Quarterly Journal of Economics, Oxford University Press, vol. 123(1), pages 177-218.
    4. Jens Ludwig & Douglas L. Miller, 2007. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," The Quarterly Journal of Economics, Oxford University Press, vol. 122(1), pages 159-208.
    5. David Clingingsmith & Asim Ijaz Khwaja & Michael Kremer, 2009. "Estimating the Impact of The Hajj: Religion and Tolerance in Islam's Global Gathering," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1133-1170.
    6. Alan B. Krueger & Andreas Mueller, 2011. "Job Search and Job Finding in a Period of Mass Unemployment: Evidence from High-Frequency Longitudinal Data," Working Papers 1295, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    8. David Clingingsmith & Asim Ijaz Khwaja & Michael Kremer, 2009. "Estimating the Impact of The Hajj: Religion and Tolerance in Islam's Global Gathering," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1133-1170.
    9. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
    10. Zeyu Xu & Jane Hannaway & Colin Taylor, 2011. "Making a difference? The effects of Teach For America in high school," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(3), pages 447-469, June.
    11. Alan B. Krueger & Andreas Mueller, 2011. "Job Search, Emotional Well-Being and Job Finding in a Period of Mass Unemployment: Evidence from High-Frequency Longitudinal Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 1-81.
    12. Eric Luis Uhlmann & Anthony Greenwald & Andrew Poehlmann & Mahzarin Banaji, 2009. "Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity," Post-Print hal-00516146, HAL.
    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.
    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. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2016. "The Impact of Performance Ratings on Job Satisfaction for Public School Teachers," Working Papers 1617, Department of Economics, University of Missouri.
    2. Vegas, E & Ganimian, A. J., 2013. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," Working Paper 104291, Harvard University OpenScholar.
    3. Jonathan M.V. Davis, 2017. "The Short and Long Run Impacts of Centralized Clearinghouses: Evidence from Matching Teach For America Teachers to Schools," 2017 Papers pda791, Job Market Papers.

    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. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs In Economics," Working Papers 1118, Princeton University, Department of Economics, Industrial Relations Section..
    2. 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.
    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. Meyer, Andrew G., 2017. "The impact of education on political ideology: Evidence from European compulsory education reforms," Economics of Education Review, Elsevier, vol. 56(C), pages 9-23.
    5. Fanny Landaud & Son Thierry Ly & Éric Maurin, 2020. "Competitive Schools and the Gender Gap in the Choice of Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 278-308.
    6. Ivan A Canay & Vishal Kamat, 2018. "Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design," Review of Economic Studies, Oxford University Press, vol. 85(3), pages 1577-1608.
    7. Hansen, Benjamin & Miller, Keaton & Weber, Caroline, 2020. "Federalism, partial prohibition, and cross-border sales: Evidence from recreational marijuana," Journal of Public Economics, Elsevier, vol. 187(C).
    8. Ari Hyytinen & Jaakko Meriläinen & Tuukka Saarimaa & Otto Toivanen & Janne Tukiainen, 2018. "When does regression discontinuity design work? Evidence from random election outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 1019-1051, July.
    9. Fiorenza Venturini, 2018. "The Unintended Composition Effect of the Subnational Government Fiscal Rules: The Case of Italian Municipalities," Working papers 70, Società Italiana di Economia Pubblica.
    10. Raphael Flepp, 2021. "Uninformative Performance Signals and Forced CEO Turnover," Working Papers 389, University of Zurich, Department of Business Administration (IBW).
    11. Camille Landais, 2015. "Assessing the Welfare Effects of Unemployment Benefits Using the Regression Kink Design," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 243-278, November.
    12. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2020. "Do Merger Policies Increase University Efficiency? Evidence From A Fuzzy Regression Discontinuity Design," HSE Working papers WP BRP 226/EC/2020, National Research University Higher School of Economics.
    13. Miyazaki, Takeshi, 2016. "Intergovernmental Fiscal Transfers and Tax Efforts: Evidence from Japan," MPRA Paper 74337, University Library of Munich, Germany.
    14. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    15. Johannes F. Schmieder & Till von Wachter & Stefan Bender, 2013. "The Causal Effect of Unemployment Duration on Wages: Evidence from Unemployment Insurance Extensions," NBER Working Papers 19772, National Bureau of Economic Research, Inc.
    16. Nicholas Barton & Tessa Bold & Justin Sandefur, 2017. "Measuring Rents from Public Employment: Regression Discontinuity Evidence from Kenya - Working Paper 457," Working Papers 457, Center for Global Development.
    17. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    18. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    19. Tzu-Ting Yang & Hsing-Wen Han & Hsien-Ming Lien, 2014. "Patient Cost-Sharing and Healthcare Utilization in Early Childhood: Evidence from a Regression Discontinuity Design," Working Papers 14C003, Canadian Centre for Health Economics.
    20. José L. Casco, 2022. "Intra-household Resource Shares under Poverty Transfers: Evidence from Ecuador," Working Papers 2022-03, Banco de México.

    More about this item

    JEL classification:

    • I00 - Health, Education, and Welfare - - General - - - General
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    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:nbr:nberwo:17402. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.