The Short- and Long-Term Career Effects of Graduating in a Recession: Hysteresis and Heterogeneity in the Market for College Graduates
Why this work is in the frame
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Bibliographic record
Abstract
The standard neo-classical model of wage setting predicts short-term effects of temporary labor market shocks on careers and low costs of recessions for both more and less advantaged workers. In contrast, a vast range of alternative career models based on frictions in the labor market suggests that labor market shocks can have persistent effects on the entire earnings profile. This paper analyzes the long-term effects of graduating in a recession on earnings, job mobility, and employer characteristics for a large sample of Canadian college graduates with different predicted earnings using matched university-employer-employee data from 1982 to 1999, and uses its results to assess the importance of alternative career models. We find that young graduates entering the labor market in a recession suffer significant initial earnings losses that eventually fade, but after 8 to 10 years. We also document substantial heterogeneity in the costs of recessions and important effects on job mobility and employer characteristics, but small effects on time worked. These adjustment patterns are neither consistent with a neo-classical spot market nor a complete scarring effect, but could be explained by a combination of time intensive search for better employers and long-term wage contracting. All results are robust to an extensive sensitivity analysis including controls for correlated business cycle shocks after labor market entry, endogenous timing of graduation, permanent cohort differences, and selective labor force participation.
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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 | 0.015 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it