Measuring the Effect of Child Benefit on Household Expenditures: Evidence from Canadian Households’ Survey Data
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
This study examines the effects of the Canada Child Benefit on household expenditures. Estimation of child benefit impact on household expenditure is challenging since benefit and household income may be endogenously determined. Relying on permanent income hypothesis and based on Engel’s approach, findings suggest that spending patterns vary by household composition and income, but overall results indicate that receipt of this benefit is associated with a significant increase in households’ wellbeing. More specifically, expenditure elasticities estimates indicate that spending on child care for households receiving higher proportions of the benefit is the most sensitive spending to any change in household permanent income, which may indicate the existence of financial constraints for those households that prevent them from maximizing their utility. Similarly, spending on school-related items for those receiving lower proportions also represents a sensitive spending.
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 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