IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/99-10.html
   My bibliography  Save this paper

Assessing the effect of schooling on earnings using a social experiment

Author

Listed:
  • Costas Meghir

    (Institute for Fiscal Studies and Yale University)

  • Mårten Palme

    (Institute for Fiscal Studies and University of Stockholm)

Abstract

The impact of compulsory schooling laws as well as the abolition of early selection by ability remain important issues in the educational debate. These issues were the focus of a major education reform in Sweden which was implemented in the 60s. The reform was preceded by a "social experiment" in which only a proportion of municipalities received the new school system. We use survey data linked with Tax records covering 10% of one of the cohorts who were educated during the experimental period, to evaluate the impact of the reform on educational attainment and earnings. We find significant increases in the educational attainment of individuals from poorer backgrounds. We also find that the largest impact on earnings was for higher ability individuals from poorer backgrounds. In addition we estimate the returns to education for those affected by the reform. By exploiting the differential impact of the reform by county we are able, in some cases, to distinguish its direct effect on earnings from the effect it had by increasing the quantity of education. We find that the main source of increased earnings came from increasing educational attainment.

Suggested Citation

  • Costas Meghir & Mårten Palme, 1999. "Assessing the effect of schooling on earnings using a social experiment," IFS Working Papers W99/10, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:99/10
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk/wps/wp9910.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:ifs:ifsewp:99/10. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.