Modelling the Underground Economies in Canada and New Zealand: A Comparative Analysis
Bibliographic record
Abstract
Recently there has been a resurgence of interest internationally in measuring the size of the underground economies. This has led to new approaches to this problem, and a more rigorous treatment of the associated time-series issues. In this paper we compare our recent underground economy results for Canada and New Zealand. These results provide time-series measures of the (legally-based plus illegally-based) underground economies in those countries, over similar historical periods, obtained via the same methodology. This methodology involves the estimation of structural MIMIC models, calibrated by estimating nonlinear currency-demand models. In addition to providing the underground economy measures themselves, we also compare the medium-term trends and cyclical characteristics of underground output in these two countries, and their responsiveness to changes in taxation policies. Special attention is paid to the effects on the New Zealand and Canadian underground economies of the Goods and Services Taxes in 1986 and 1991 respectively. These taxes are virtually identical in their design, but the context of their implementation led to quite different impacts on the associated underground economies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".