IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/18-32.html
   My bibliography  Save this paper

Tracking pupils into adulthood: selective schools and long-term well-being in the 1958 British cohort

Author

Listed:
  • Jones, A.M.;
  • Pastore, C.;
  • Rice, N.;

Abstract

We explore the effect of tracking pupils by ability into different secondary schools on adult health, well-being and labour outcomes in England. We address selection bias by balancing individual pre-treatment characteristics via entropy matching, followed by parametric regressions estimated via OLS and IV approaches. Ability tracking does not affect long-term health and well-being, while it marginally raises hourly wages for low-ability pupils, compared to a mixed-ability system. Cognitive and non-cognitive abilities measured prior to secondary school are more significant and positive predictors of adult outcomes. Particularly, non-cognitive skills may have a protective role for adult health for lower cognitive ability children.

Suggested Citation

  • Jones, A.M.; & Pastore, C.; & Rice, N.;, 2018. "Tracking pupils into adulthood: selective schools and long-term well-being in the 1958 British cohort," Health, Econometrics and Data Group (HEDG) Working Papers 18/32, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:18/32
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/1832.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    2. Victor R. Fuchs, 1982. "Economic Aspects of Health," NBER Books, National Bureau of Economic Research, Inc, number fuch82-1.
    3. 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.
    4. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    5. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    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. Stéphane Bonhomme & Ulrich Sauder, 2011. "Recovering Distributions in Difference-in-Differences Models: A Comparison of Selective and Comprehensive Schooling," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 479-494, May.
    8. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    9. Basu, Anirban & Jones, Andrew M. & Dias, Pedro Rosa, 2018. "Heterogeneity in the impact of type of schooling on adult health and lifestyle," Journal of Health Economics, Elsevier, vol. 57(C), pages 1-14.
    10. Manning, Alan & Pischke, Jörn-Steffen, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," IZA Discussion Papers 2072, Institute of Labor Economics (IZA).
    11. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    12. Karl Widerquist, 2018. "The Bottom Line," Exploring the Basic Income Guarantee, in: A Critical Analysis of Basic Income Experiments for Researchers, Policymakers, and Citizens, chapter 0, pages 93-98, Palgrave Macmillan.
    13. Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
    14. Andrew Jones & Nigel Rice & Pedro Rosa Dias, 2012. "Quality of schooling and inequality of opportunity in health," Empirical Economics, Springer, vol. 42(2), pages 369-394, April.
    15. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    16. M. Christopher Auld & Nirmal Sidhu, 2005. "Schooling, cognitive ability and health," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1019-1034, October.
    17. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    18. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    19. Galindo-Rueda, Fernando & Vignoles, Anna, 2004. "The Heterogeneous Effect of Selection in Secondary Schools: Understanding the Changing Role of Ability," IZA Discussion Papers 1245, Institute of Labor Economics (IZA).
    20. Andrew M. Jones & Nigel Rice & Pedro Rosa Dias, 2011. "Long-Term Effects of School Quality on Health and Lifestyle: Evidence from Comprehensive Schooling Reforms in England," Journal of Human Capital, University of Chicago Press, vol. 5(3), pages 342-376.
    21. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    22. Burgess, Simon, 2016. "Human Capital and Education: The State of the Art in the Economics of Education," IZA Discussion Papers 9885, Institute of Labor Economics (IZA).
    23. Simon Burgess & Claire Crawford & Lindsey Macmillan, 2017. "Assessing the role of grammar schools in promoting social mobility," DoQSS Working Papers 17-09, Quantitative Social Science - UCL Social Research Institute, University College London.
    24. Damon Clark & Emilia Del Bono, 2016. "The Long-Run Effects of Attending an Elite School: Evidence from the United Kingdom," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 150-176, January.
    25. Fuchs, Victor R. (ed.), 1982. "Economic Aspects of Health," National Bureau of Economic Research Books, University of Chicago Press, number 9780226267852, September.
    26. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    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. Pastore, Chiara & Jones, Andrew M., 2023. "Human capital consequences of missing out on a grammar school education," Economic Modelling, Elsevier, vol. 126(C).
    2. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    3. Peter A. Savelyev, 2014. "Psychological Skills, Education, and Longevity of High-Ability Individuals," Vanderbilt University Department of Economics Working Papers 14-00007, Vanderbilt University Department of Economics.
    4. Sari Pekkala Kerr & Tuomas Pekkarinen & Roope Uusitalo, 2013. "School Tracking and Development of Cognitive Skills," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 577-602.
    5. Grytten, Jostein & Skau, Irene, 2017. "The impact of education on the probability of receiving periodontal treatment. Causal effects measured by using the introduction of a school reform in Norway," Social Science & Medicine, Elsevier, vol. 188(C), pages 128-136.
    6. Ji, Sisi & Zhu, Zheyi, 2022. "Does higher education matter for health?," Cardiff Economics Working Papers E2022/4, Cardiff University, Cardiff Business School, Economics Section.
    7. Ubaldi, Michele & Picchio, Matteo, 2023. "Intergenerational scars: The impact of parental unemployment on individual health later in life," GLO Discussion Paper Series 1271, Global Labor Organization (GLO).
    8. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    9. Ma, Yuanyuan & Nolan, Anne & Smith, James P., 2018. "The value of education to health: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 31(C), pages 14-25.
    10. Michael Grossman, 2022. "The demand for health turns 50: Reflections," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1807-1822, September.
    11. Bautista, María Angélica & González, Felipe & Martinez, Luis R. & Muñoz, Pablo & Prem, Mounu, 2020. "Does Higher Education Reduce Mortality? Evidence from a Natural Experiment in Chile," SocArXiv 5s2px, Center for Open Science.
    12. Felipe González & Luis R Martínez & Pablo Muñoz & Mounu Prem, 2024. "Higher Education and Mortality: Legacies of an Authoritarian College Contraction," Journal of the European Economic Association, European Economic Association, vol. 22(4), pages 1762-1797.
    13. Jared C. Carbone & Snorre Kverndokk, 2016. "Individual Investments in Education and Health: Policy Responses and Interactions," CESifo Working Paper Series 6154, CESifo.
    14. Ettner, Susan L. & French, Michael T. & Popovici, Ioana, 2010. "Heavy drinking and health promotion activities," Social Science & Medicine, Elsevier, vol. 71(1), pages 134-142, July.
    15. Caroline Hall, 2012. "The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 237-269.
    16. Yuri Ostrovsky & Garnett Picot, 2021. "Innovation in immigrant-owned firms," Small Business Economics, Springer, vol. 57(4), pages 1857-1874, December.
    17. Carbone, Jared C. & Kverndokk, Snorre, 2014. "Individual investments in education and health," HERO Online Working Paper Series 2014:1, University of Oslo, Health Economics Research Programme.
    18. Hans van Kippersluis, & Owen O’Donnell & Eddy van Doorslaer, 2011. "Long-Run Returns to Education: Does Schooling Lead to an Extended Old Age?," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 695-721.
    19. Gary King & Christopher Lucas & Richard A. Nielsen, 2017. "The Balance‐Sample Size Frontier in Matching Methods for Causal Inference," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 473-489, April.
    20. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.

    More about this item

    Keywords

    ability tracking; educational reform; well-being; health; entropy balancing; instrumental variables;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • I1 - Health, Education, and Welfare - - Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

    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:yor:hectdg:18/32. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.