Regeneration, Labour Supply and the Welfare Costs of Taxes
Bibliographic record
Abstract
This paper sets out alternatives to the traditional model of labour supply used to analyse the welfare costs of income and/or sales taxes when preferences are defined over goods and leisure and the market wage yields the slope of the budget constraint. The innovation in our work is to assume that some or all of non market time is used to regenerate the productivity of labour through rest and relaxation. This model has no closed form solution, but we can work with the first order conditions numerically for specific functional forms using non linear solution software. We generate a number of alternative parameterizations of this model through a series of calibrations to the same synthetic base case data set. Across the resulting parameterizations the welfare costs of taxes vary substantially (by a factor of twenty fold in some counterfactual analyses), even though they all involve calibration to the same base case data and labour supply elasticity. These results thus suggest that a small and seemingly plausible departure from a standard model (even if not in closed form) that has dominated the economic literature for many years can yield substantial change for perspectives on policy interventions.
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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 | 0.011 | 0.003 |
| 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 | 0.001 |
| 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".