The impact of parental benefits on disadvantaged households
Bibliographic record
Abstract
Abstract Over the past 25 years, the Government of Quebec (Canada) has introduced a number of relatively novel policies aimed at fighting poverty such as the Universal Child Care Program (UCCP) in 1997 and the Quebec Parental Insurance Program (QPIP) in 2006. Since its inception, the QPIP has provided a means‐tested supplementary benefits scheme for disadvantaged households. The scheme yields a well‐defined kink in the benefits schedule with respect to two entirely exogenous criteria. Using the QPIP administrative data files from 2006 to 2017, we estimate the causal impact of the supplemental benefits on leave duration and participation of poor households within a sharp Regression Kink Design (RKD) approach. Our results indicate that single mothers are relatively responsive to additional benefits. Conversely, partnered mothers are not found to respond to the supplemental benefits, irrespective of fathers’ own participation in the parental leave. The Canadian government is currently considering introducing a similar parental leave program. Our results may prove useful for the design of the program.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".