TITLE: cOm:;e Essays on Empirical Household Behayiour
Bibliographic record
Abstract
This thesis consists of three essays on empirical household behaviour: in particular. on demand and female labour supply decisions. 1h: first essay examines empirical1) \\vhether the condition 10r aggregation across goods and the condition l{)r aggregation across individuals are accepted using Canadian family expenditure surye) s. J \\ ne\\\\ demand system is developed to test both conditions. Both conditions are rejeckd by the data. This places some doubt on the use of single good. representative agent models in macroeconomIcs. "n1e second essay is concemed with the impact of children on labour supply decisions of malTied women using the 1975 labor supply data from Panel Stud) or Income Dynamics. Some previous research treated the number of children as a continuous variable and has tl1lmd that the number or children is exogenous in the hours of \\\\or\\\\. equation of malTied \\yomen. suggesting that the number of children is detennined independently of hours \\vorked. This essay tinds that treating the number of children ~L" a discrete integer may be impOliant when testing for their individual exogeneity in the hours equation. It also finds that children and labour tt1rce participation are a joint
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".