IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1213.html

Using the Longitudinal Study of Young People in England for research into Higher Education access

Author

Listed:
  • Jake Anders

    (Institute of Education, University of London)

Abstract

The Longitudinal Study of Young People in England (LSYPE) has the potential to be an important new resource for addressing research questions regarding access to Higher Education. This paper outlines the data available in the LSYPE and assesses its quality, particularly relative to other datasets that have been used to address similar questions in the past. The paper finds many positive features of the data. These include data collection from parents (including much information on family background characteristics) and good family income measurement compared with many previous studies. The LSYPE also measures a greater depth of HE-related outcomes than some previous datasets, including application, entry, subject studied and institution attended. However, comparison with official statistics suggests that this may be undermined by a large overestimation of the proportion of young people who enter Higher Education (as much as ten percentage points) than we would see in a truly nationally representative sample. There is also some evidence of underreporting of family income. Nevertheless, the paper concludes that analysis of the LSYPE has the potential to shed new light on university access in England.

Suggested Citation

  • Jake Anders, 2012. "Using the Longitudinal Study of Young People in England for research into Higher Education access," DoQSS Working Papers 12-13, Quantitative Social Science - UCL Social Research Institute, University College London.
    • Handle: RePEc:qss:dqsswp:1213
    as

    Download full text from publisher

    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp1213.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Burgess & Carol Propper & John A. Rigg, 2004. "The Impact of Low Income on Child Health: Evidence from a Birth Cohort Study," CASE Papers 085, Centre for Analysis of Social Exclusion, LSE.
    2. Chevalier, Arnaud & Conlon, Gavan, 2003. "Does It Pay to Attend a Prestigious University?," IZA Discussion Papers 848, IZA Network @ LISER.
    3. John Micklewright & Sylke V. Schnepf, 2010. "How reliable are income data collected with a single question?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 409-429, April.
    4. Galindo-Rueda, Fernando & Marcenaro-Gutierrez, Oscar & Vignoles, Anna, 2004. "The Widening Socio-Economic Gap in UK Higher Education," National Institute Economic Review, National Institute of Economic and Social Research, vol. 190, pages 75-88, October.
    5. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    6. Alfonso Miranda & Sophia Rabe-Hesketh, 2014. "Missing ordinal covariate with informative selection," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(2), pages 319-344, February.
    7. John Jerrim, 2011. "Disadvantaged children’s ``low'' educational expectations: Are the US and UK really so different to other industrialized nations?," DoQSS Working Papers 11-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    8. William N. Evans & Wallace E. Oates & Robert M. Schwab & William N. Evans & Wallace E. Oates & Robert M. Schwab, 2004. "Measuring Peer Group Effects: A Study of Teenage Behavior," Chapters, in: Environmental Policy and Fiscal Federalism, chapter 13, pages 232-257, Edward Elgar Publishing.
    9. Stephen P. Jenkins & Christian Schluter, 2002. "The Effect of Family Income during Childhood on Later-life Attainment: Evidence from Germany," Discussion Papers of DIW Berlin 317, DIW Berlin, German Institute for Economic Research.
    10. Donna Ginther & Robert Haveman & Barbara Wolfe, 2000. "Neighborhood Attributes as Determinants of Children's Outcomes: How Robust Are the Relationships?," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 603-642.
    11. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Oscar Marcenaro-Gutierrez & Fernando Galindo-Rueda & Anna Vignoles, 2008. "Who actually goes to university?," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 79-103, Springer.
    13. John Ermisch & Marco Francesconi, 2001. "Family Matters: Impacts of Family Background on Educational Attainments," Economica, London School of Economics and Political Science, vol. 68(270), pages 137-156, May.
    14. repec:bla:econom:v:68:y:2001:i:270:p:137-56 is not listed on IDEAS
    15. Massimiliano BRATTI & Robin NAYLOR & Jeremy SMITH, 2008. "Heterogeneities in the returns to degrees: evidence from the British cohort study 1970," Departmental Working Papers 2008-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    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. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2015. "A Dynamic Analysis of Skill Formation and NEET status," Working Papers 2015016, The University of Sheffield, Department of Economics.
    2. Gorman, Emma & Harmon, Colm & Mendolia, Silvia & Staneva, Anita & Walker, Ian, 2019. "The Causal Effects of Adolescent School Bullying Victimisation on Later Life Outcomes," Working Papers 2019-05, University of Sydney, School of Economics.
    3. Benjamin Alcott, 2017. "Does Teacher Encouragement Influence Students’ Educational Progress? A Propensity-Score Matching Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(7), pages 773-804, November.
    4. Emma Gorman & Colm Harmon & Silvia Mendolia & Anita Staneva & Ian Walker, 2021. "Adolescent School Bullying Victimization and Later Life Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1048-1076, August.
    5. Jake Anders & John Micklewright, 2013. "Teenagers' expectations of applying to university: how do they change?," DoQSS Working Papers 13-13, Quantitative Social Science - UCL Social Research Institute, University College London.
    6. Jake Anders, 2014. "Does an aptitude test affect socioeconomic and gender gaps in attendance at an elite university?," DoQSS Working Papers 14-07, Quantitative Social Science - UCL Social Research Institute, University College London.
    7. Mendolia Silvia & Paloyo Alfredo & Walker Ian, 2019. "Intrinsic Religiosity, Personality Traits, and Adolescent Risky Behaviors," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(3), pages 1-16, July.
    8. Jake Anders, 2012. "What's the link between household income and going to university?," DoQSS Working Papers 12-01, Quantitative Social Science - UCL Social Research Institute, University College London.
    9. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2022. "Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 485-514, December.
    10. Buchmueller, Gerda & Walker, Ian, 2020. "The Graduate Wage and Earnings Premia and the Role of Non-Cognitive Skills," IZA Discussion Papers 13248, IZA Network @ LISER.

    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. Anna Christina D'Addio, 2007. "Intergenerational Transmission of Disadvantage: Mobility or Immobility Across Generations?," OECD Social, Employment and Migration Working Papers 52, OECD Publishing.
    2. Jake Anders, 2012. "What's the link between household income and going to university?," DoQSS Working Papers 12-01, Quantitative Social Science - UCL Social Research Institute, University College London.
    3. Haroon Chowdry & Claire Crawford & Lorraine Dearden & Alissa Goodman & Anna Vignoles, 2013. "Widening participation in higher education: analysis using linked administrative data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 431-457, February.
    4. Claire Crawford, 2014. "Socio-economic differences in university outcomes in the UK: drop-out, degree completion and degree class," IFS Working Papers W14/31, Institute for Fiscal Studies.
    5. Elena Arias Ortiz & Catherine Dehon, 2008. "What are the Factors of Success at University? A Case Study in Belgium," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 121-148.
    6. Kathryn Wilson, 2001. "The Determinants of Educational Attainment: Modeling and Estimating the Human Capital Model and Education Production Functions," Southern Economic Journal, John Wiley & Sons, vol. 67(3), pages 518-551, January.
    7. Massimiliano Bratti & Robin Naylor & Jeremy Smith, 2005. "Variations in the Wage Returns to a First Degree: Evidence from the British Cohort Study 1970," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1005, Universitá degli Studi di Milano.
    8. Javier Valbuena, 2012. "A Longitudinal Perspective on Higher Education Participation in the UK," Studies in Economics 1215, School of Economics, University of Kent.
    9. repec:pri:cepsud:109rothstein is not listed on IDEAS
    10. Lindvall, Lars, 2009. "Neighbourhoods, economic incentives and post compulsory education choices," Working Paper Series 2009:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. Jenkins, Stephen P. & Schluter, Christian, 2002. "The Effect of Family Income During Childhood on Later-Life Attainment: Evidence from Germany," IZA Discussion Papers 604, IZA Network @ LISER.
    12. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    13. Niaz Asadullah & Alain Trannoy & Sandy Tubeuf & Gaston Yalonetzky, 2018. "Fair and unfair educational inequality in a developing country: The role of pupil’s effort," Working Papers 474, ECINEQ, Society for the Study of Economic Inequality.
    14. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    15. Miriam Beblo & Charlotte Lauer, 2004. "Do family resources matter? Educational attainment during transition in Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 537-558, September.
    16. Gabin Langevin & David Masclet & Fabien Moizeau & Emmanuel Peterle, 2017. "Ethnic gaps in educational attainment and labor-market outcomes: evidence from France," Education Economics, Taylor & Francis Journals, vol. 25(1), pages 84-111, January.
    17. Anna Adamecz-Völgyi & Morag Henderson & Nikki Shure, 2023. "The labor market returns to “first-in-family” university graduates," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1395-1429, July.
    18. Winkelmann, Rainer, 2003. "Parental Separation and Well-Being of Youths," IZA Discussion Papers 894, IZA Network @ LISER.
    19. Asadullah, M. Niaz & Trannoy, Alain & Tubeuf, Sandy & Yalonetzky, Gaston, 2021. "Measuring educational inequality of opportunity: pupil’s effort matters," World Development, Elsevier, vol. 138(C).
    20. Flannery, Darragh & O’Donoghue, Cathal, 2013. "The demand for higher education: A static structural approach accounting for individual heterogeneity and nesting patterns," Economics of Education Review, Elsevier, vol. 34(C), pages 243-257.
    21. Giulio Zanella, 2004. "Discrete Choice with Social Interactions and Endogenous Memberships," Department of Economics University of Siena 442, Department of Economics, University of Siena.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    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:qss:dqsswp:1213. 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: Dr Neus Bover Fonts (email available below). General contact details of provider: https://edirc.repec.org/data/dqioeuk.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.