The impact of minimum wage policy on alcohol use disorder: a quasi-experimental study in South Korea
Bibliographic record
Abstract
South Korea's 2018 minimum wage hike was examined for its impact on potential alcohol use disorders among affected individuals, using data from the Korea Welfare Panel Study (2015-2019). The study sample was restricted to workers aged 19-64 employed over the study years. The treatment group was identified as those below minimum wages, and the control group as those earning more than minimum wages in 2016-2017 (n = 3117 control, n = 578 treatment). Using outcomes derived from the Alcohol Use Disorders Identification Test, our results from difference-in-differences models showed that the 2018 wage hike was linked to a 1.9% increase in the "high risk" of alcohol use disorder and a 3.6% rise in hazardous consumption in the treatment group. Notably, the effects were more pronounced among men and those aged 50-64. Additionally, we confirmed that the spillover effects extended to workers earning up to 20% above the minimum wage. This study underscores the unintended substance use risk of minimum wage policies in the East Asian context. As wage policies are implemented, integrated public health campaigns targeting at-risk groups are required.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".