A cointegrated structural VAR model of the Canadian economy
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Bibliographic record
Abstract
This paper implements a cointegrated structural VAR model of the Canadian economy using quarterly data over the period 1964–1994. The dynamic properties of the estimated model are compared to the predictions of a simple textbook macro model. Four long-run equilibrium relationships are tested: (i) consumption–income; (ii) consumption–wealth; (iii) money demand; and (iv) the Fisher equation. The empirical results obtained are generally consistent with the predictions of the textbook model's long-run implications, although level shifts are observed in the consumption/income and the wealth/income ratios. Similarly it is found that there was an increase in the ex post real interest rate, implying a level shift in the Fisher relation, following the Bank of Canada's policy change towards a stable price level target.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it