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Does Temporary Interruption in Postsecondary Education Induce a Wage Penalty? Evidence from Canada

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  • Fortin, Bernard

    (Université Laval)

  • Ragued, Safa

    (Laval University)

Abstract

Data from the Youth in Transition Survey reveal that almost 40% of Canadian youth who left post-secondary education in 1999 had returned two years later. This paper investigates the extent to which schooling discontinuities affect post-graduation starting real wages and whether the latter are differently influenced by the reasons behind these discontinuities. We analyse this issue using data from the 2007 National Graduate Survey. We take covariates endogeneity into account using Lewbel's (2012) generated instrument approach. The source of identification is a heteroscedastic covariance restriction of the error terms that is a feature of many models of endogeneity. To allow for individual heterogeneity in the causal effect of various reasons for schooling interruption, we also provide results from two-stage quantile regressions using Lewbel's generated instruments. Conditional on the levels of schooling and experience, we find a positive effect on wages of temporary schooling interruption for men who had held a full-time job during their out-of-school spell(s). Both men and women witness a wage decrease if their interruption is associated with health issues. Women also bear a wage penalty if their interruption is due to a part-time job, to lack of money, or is caused by reasons other than health, work, and money.

Suggested Citation

  • Fortin, Bernard & Ragued, Safa, 2016. "Does Temporary Interruption in Postsecondary Education Induce a Wage Penalty? Evidence from Canada," IZA Discussion Papers 10158, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10158
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    More about this item

    Keywords

    schooling interruption; wages; temporary attrition; delayed graduation; Lewbel IV; two-stage quantile regression; Box-Cox;
    All these keywords.

    JEL classification:

    • 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
    • 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
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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