Modelling the hidden economy and the tax-gap in New Zealand
Why this work is in the frame
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Bibliographic record
Abstract
This paper develops and estimates a structural, latent variable, model for the hidden economy in New Zealand, and a separate currency-demand model. The estimated latent variable model is used to generate an historical time-series index of hidden economic activity, which is calibrated via the information from the currency-demand model. Special attention is paid to data non-stationarity, and to diagnostic testing. Over the period 1968 to 1994, the size of the hidden economy is found to vary between 6.8% and 11.3% of measured GDP. This, in turn, implies that the total tax-gap is of the order of 6.4% to 10.2% of total tax liability in that country. Of course, not all of this foregone revenue would be recoverable, as not all of the activity in the underground economy is responsive to changes in taxation or other policies.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 0.001 |
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