IDEAS home Printed from https://ideas.repec.org/a/aea/aejpol/v11y2019i2p35-63.html

Early School Exposure, Test Scores, and Noncognitive Outcomes

Author

Listed:
  • Thomas Cornelissen
  • Christian Dustmann

Abstract

We estimate the effects of receiving additional schooling before age five on cognitive and noncognitive outcomes, exploiting unique school entry rules in England that cause variation in the age at school entry and the effective length of the first school year, and combining survey data with administrative school records up to six years after exposure. We find significant effects on both cognitive and noncognitive outcomes at ages five and seven, particularly so for boys with a disadvantaged parental background. At age 11, effects on cognitive outcomes have disappeared, while there is still evidence for effects on noncognitive outcomes.

Suggested Citation

  • Thomas Cornelissen & Christian Dustmann, 2019. "Early School Exposure, Test Scores, and Noncognitive Outcomes," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 35-63, May.
  • Handle: RePEc:aea:aejpol:v:11:y:2019:i:2:p:35-63
    Note: DOI: 10.1257/pol.20170641
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pol.20170641
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=CE7FXiaH7MWjJ4fYSobS64bZVySAsp2T
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=EEKHBf0OHgpEfUWO3dVhb8eun6F2gRFg
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=ZXRWX-MsGWt_N1die_eywkUqAGvN9CWY
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    2. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    3. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    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. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    2. 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.
    3. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    5. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    6. Shuang Chen, 2022. "The Positive Effect of Women’s Education on Fertility in Low-Fertility China," European Journal of Population, Springer;European Association for Population Studies, vol. 38(1), pages 125-161, March.
    7. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    8. Denni Tommasi & Lina Zhang, 2024. "Identifying program benefits when participation is misreported," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1123-1148, September.
    9. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    10. Timothy Tyler Brown & Erin Dela Cruz & Stephen Scott Brown, 2011. "The effect of dental care on cardiovascular disease outcomes: an application of instrumental variables in the presence of heterogeneity and self‐selection," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1241-1256, October.
    11. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    12. Nagler, Markus & Sorg, Stefan, 2019. "The Disciplinary Effect of Post-Grant Review," Rationality and Competition Discussion Paper Series 155, CRC TRR 190 Rationality and Competition.
    13. Patrick Kline & Christopher R. Walters, 2019. "On Heckits, LATE, and Numerical Equivalence," Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
    14. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.
    15. Peter G. Backus & Nicky L. Grant, 2019. "How sensitive is the average taxpayer to changes in the tax-price of giving?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 317-356, April.
    16. Deepak Kumar Nepali & Keshav Lall Maharjan, 2025. "Assessing the Impact of Hermetic Storage Technology on Storage Quantity and Post-Harvest Storage Losses Among Smallholding Maize Farmers in Nepal," Agriculture, MDPI, vol. 15(2), pages 1-22, January.
    17. Ea Hoppe Blaabæk & Mads Meier Jæger & Joseph Molitoris, 2020. "Family Size and Educational Attainment: Cousins, Contexts, and Compensation," European Journal of Population, Springer;European Association for Population Studies, vol. 36(3), pages 575-600, July.
    18. Lai, Weizheng, 2024. "The effect of education on voter turnout in China's rural elections," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 230-247.
    19. Subhasish Dey & Kunal Sen, 2016. "Is partisan alignment electorally rewarding? Evidence from village council elections in India," Global Development Institute Working Paper Series esid-063-16, GDI, The University of Manchester.
    20. Yiming He & Thomas M. Fullerton, 2020. "The economic analysis of instrument variables estimation in dynamic optimal models with an application to the water consumption," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(9), pages 413-423.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:aea:aejpol:v:11:y:2019:i:2:p:35-63. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.