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Regression discontinuity design with principal stratification in the mixed proportional hazard model: an application to the long-run impact of education on longevity

Author

Listed:
  • Govert E. Bijwaard

    (Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW/University of Groningen))

  • Andrew M. Jones

    (University of York)

Abstract

We investigate the long-run impact of education on longevity using data for England and Wales from the Health and Lifestyle Survey. Longevity is modelled by survival analysis using a mixed proportional hazard model. For identification we propose a Regression Discontinuity Design implied by an increase in the minimum school leaving age in 1947 (from 14 to 15) combined with a principal stratification method for estimation of the mortality hazard rate. This method allows us to derive the causal effect of extended education on longevity. In line with earlier studies we do not find credible evidence of a causal impact of the additional years of schooling that were induced by the reform on longevity.

Suggested Citation

  • Govert E. Bijwaard & Andrew M. Jones, 2024. "Regression discontinuity design with principal stratification in the mixed proportional hazard model: an application to the long-run impact of education on longevity," Empirical Economics, Springer, vol. 67(1), pages 197-223, July.
    • Handle: RePEc:spr:empeco:v:67:y:2024:i:1:d:10.1007_s00181-023-02553-0
    DOI: 10.1007/s00181-023-02553-0
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    More about this item

    Keywords

    Regression discontinuity design; Education; Mortality; Principal strata; Mixture models;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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