Does Temporary Interruption in Postsecondary Education Induce a Wage Penalty? Evidence from Canada
Bibliographic record
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".