ToTEM: The Bank of Canada's New Quarterly Projection Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors provide a detailed technical description of the Terms-of-Trade Economic Model (ToTEM), which replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. ToTEM is an open-economy, dynamic stochastic general-equilibrium model that contains producers of four distinct finished products: consumption goods and services, investment goods, government goods, and export goods. ToTEM also contains a commodity-producing sector. The behaviour of almost all key variables in ToTEM is traceable to a set of fundamental assumptions about the underlying structure of the Canadian economy. This greatly improves the model's ability to tell coherent, internally consistent stories about the current evolution of the Canadian economy and how it is expected to evolve in the future. In addition, ToTEM's multiple-goods approach enables the Bank to gain insight into a much wider variety of shocks, including relative-price shocks. In particular, ToTEM is better equipped to handle terms-of-trade shocks, such as those stemming from movements in world commodity prices. But ToTEM does not mark a radical departure from QPM's design philosophy; rather, it should be regarded as the next step in the evolution of openeconomy macro modelling at the Bank. Indeed, ToTEM adopts most of the features that distinguished QPM from its predecessors, including a well-defined steady state, an explicit separation of intrinsic and expectational dynamics, an endogenous monetary policy rule, and an emphasis on the economy's supply side. However, ToTEM extends this basic framework, allowing for optimizing behaviour on the part of households and firms, both in and out of steady state, in a multi-product environment.
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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 | 0.002 | 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 | 0.002 |
| 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