Employer and Employee Preferences for Worker Benefits: Evidence from a Matched Employer-Employee Survey in Bangladesh
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We study the working conditions of low-skilled workers in a developing country, Bangladesh, to shed light on the conditions workers value and employers may be willing to provide. Using a carefully designed choice experiment embedded in a unique survey of employers and employees, we elicit preferences for compensation, leave and termination policies, working hours, overtime pay, and accident compensation. Workers value termination notice and accident compensation, and employers are not averse to providing them. However, workers find long working hours without overtime compensation to be highly undesirable, whereas many employers are unwilling to provide shorter hours or overtime pay unless they face the threat of fines or are offered substantial incentives. Our findings suggest that encouraging the provision of termination notice and accident compensation may be relatively easy, but that increasing compliance with legal limits on working hours and overtime compensation is likely to require increased enforcement or substantial incentives.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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