The impact of work injury and permanent impairment on the probability of poverty
Bibliographic record
Abstract
Objectives : We investigate the prevalence of poverty across different workers compensation programs using large representative samples of workers’ compensation claimants who have sustained a permanent impairment from a work injury. The programs, which have existed in the provinces of Ontario and British Columbia, Canada over the last 25 years, are the Permanent Disability (PD) program, the Future Economic Loss (FEL) program, the Loss of Earnings (LOE) program, and the Bifurcated Benefits (BB) program. The nature of benefit determination and the return to work supports provided by the four programs are very different. The focus of the study is on evidence of programmatic impact on the probability of poverty in the nine years post injury. Methods : The study included claimants sampled from each of the four programs who sustained a permanent impairment from a work injury. Claimants were identified in a Revenue Canada tax database know as the Longitudinal Administrative Databank (LAD), which is a longitudinal 20% simple random sample of all Canadian tax filers. Each claimant was matched with similar uninjured controls that were also in the LAD, based on sex, age, labour-market earnings amounts and trajectories in the four years prior to injury, family income, marital status, number of children, and a propensity score. Descriptive analysis was undertaken to compare near poverty, poverty and deep poverty levels of claimants relative to their match controls using data on family and individual earnings over a ten-year period post injury. Statistical modeling was used to determine the probability of poverty and near poverty for claimants versus controls. A key issue of interest was to determine was whether the probability of poverty differed between programs. Results : Based on after-tax adjusted family income, the level of poverty was quite low, less than 2% in every program over a ten-year period. The level of poverty was also lower for claimants than their matched controls, but only nominally so. The BB program had the lowest proportion of poverty followed by the PD program, the FEL program and then the LOE program. In the statistical modelling analysis male claimants did not have a higher probability of poverty compared to controls, though female claimants did. Both male and female claimants had a higher probability of near poverty. Conclusions : Poverty levels are very low for workers’ compensation claimants who sustain permanent impairments from a work injury across different programs and time periods in Ontario and British Columbia. Overall the Bifurcated Benefits program from British Columbia had the lowest proportion of claimants in poverty in absolute terms and relative to non-injured workers. Increased levels of poverty due to work injury and permanent impairment are particularly a concern for female claimants, though both female and male claimants have a higher chance of near poverty compared to non-injured workers.
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How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".