Three Essays on the Economics of Child Well-Being
Bibliographic record
Abstract
This thesis consists of three major essays that respectively investigate three factors that might influence child well-being: family income, family structure, and time spent in child care. Using the Canadian National Longitudinal Survey of Children and Youth (NLSCY), the first essay finds that income-based gaps in child health are statistically significant, quantitatively meaningful, and more pronounced as children age. Contrary to previous U.S. evidence, the observed income gradient in child health cannot be attributed to the protective effects of income on the incidence and severity of children’s health problems at birth and chronic conditions. This contrast may reflect the effects of universal health insurance in Canada. An instrumental variable estimator predicts a stronger causal effect of income on child health than does OLS. Also using the NLSCY, the second essay indicates that children persistently living in single-parent families have poorer health and educational outcomes compared to children persistently living in intact families. In addition, children whose parents separate during a given period exhibit worse health and educational outcomes compared to children whose parents remain together. Using a sibling fixed-effect approach substantially reduces the associations between children’s outcomes and parental separation predicted by OLS, but several gaps, especially in mental health, remain statistically significant and quantitatively meaningful. Using time-use data taken from the General Social Survey (GSS), the third essay finds that parental time spent in child care continuously and dramatically increased in Canada between 1986 and 2010. The increase in average time spent in child care applied to all gender and education groups but was associated with a growing dispersion in child care time. While more highly educated parents are more likely to spend time in child care, the education-based gaps in child care time are found to decline.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.037 | 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".