Bibliographic record
Abstract
While proponents argue that minimum wage laws are essential in improving social welfare and economic well-being, implementation of minimum wage laws can also be associated with increased unemployment and the movement of workers into the informal sector where worker protection and workplace standards are less likely to be observed compared to the formal sector. A paper entitled “Estimating the Effects of Minimum Wage in a Developing Country: a Density Discontinuity Design Approach†(CLSRN Working Paper no.142) by CLSRN affiliate Hugo Jales (University of British Columbia), proposes a novel framework to empirically assess the effect of the minimum wage on unemployment, average wages, sector mobility, wage inequality, the size of the informal sector, and on labour tax revenues. The study finds that while minimum wage policy can increase average wages and reduce wage inequality, the policy has the unintended effect of causing labor tax revenues to fall as a result of workers shifting from the formal to informal sectors. Proponents of unionization assert that unions have beneficial social welfare impacts, such as providing workers with improved wage rates, fringe benefits and working conditions, but other evidence points to the negative effects of unions on corporate profits, investment, and employment growth. More recently, research has examined the potential for spillover effects of unions on the wage outcomes of non-unionized workers. Indeed, examination of spillover effects of union wage outcomes in the United States has been found to account for up to one-third of the growth in American wage inequality in recent decades. In a paper entitled “The Effect of Labour Relations Laws on Union Density Rates: Evidence from Canadian Provinces†(CLSRN Working Paper no. 141), CLSRN affiliates Scott Legree (University of Waterloo), Tammy Schirle (Wilfrid Laurier University) and Mikal Skuterud (University of Waterloo) examine the impact of changes in labour relation laws on union density rates in Canada. They find that while changes to labour relations laws have the potential to greatly increase union density rates, increased unionization through labour relations reform tends to benefit workers who would enjoy relatively high wages even in the absence of unions. Consequently, the authors argue that reforms in labour relations laws are unlikely to result in significant reductions in wage inequality
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.609 | 0.529 |
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".