Evolution of Gender Differences in Occupational Mobility and Wages
Bibliographic record
Abstract
The U.S. gender wage gap shrank steadily during the last quarter of the past century. Concurrently, the occupational composition of women converged to that of men as they left the home-sector, entered previously male dominated professional and managerial occupations, and started switching occupations as frequently as their male colleagues. Previous work has associated these gender-related labor market trends with either technological or institutional changes but did not decompose the outcomes in a unified general equilibrium setting. This paper attempts to do that. Our contribution is twofold. First, we structurally estimate gender-specific occupational entry and mobility cost parameters using Current Population Survey data. We find that the cost of switching to professional and managerial occupations relative to clerical occupations is 42% to 67% higher for women than it is for men. We also find a declining gap over time. Second, we simulate the estimated model to address the following question: what is the fraction of the reduced gender wage gap that can be attributed to the decreased mobility costs for women, and to shifts in the occupational wage structure?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".