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Record W3141629074 · doi:10.34989/tr-94

A Comparison of Twelve Macroeconomic Models of the Canadian Economy

2021· preprint· en· W3141629074 on OpenAlexaffabout
Denise Côté, John Kuszczak, Jean‐Paul Lam, Ying Liu, Pierre St‐Amant

Bibliographic record

VenueRePEc: Research Papers in Economics · 2021
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsBank of Canada
Fundersnot available
KeywordsEconomicsDisequilibriumMonetary policyInflation (cosmology)Phillips curveSmall open economyInflation targetingImpulse responseVector autoregressionInterest rateYield curveEconometricsTaylor ruleMacroeconomic modelOutput gapKeynesian economicsMacroeconomicsCentral bankMathematics

Abstract

fetched live from OpenAlex

In this report, the authors examine and compare twelve private and public sector models of the Canadian economy with respect to their paradigm, structure, and dynamic properties. These open-economy models can be grouped into two economic paradigms. The first is the "conventional" paradigm (or Phillips curve paradigm) and the second is the "money matters" paradigm. Under the conventional paradigm, inflation is determined by price adjustments in response to inflation expectations and by factor disequilibrium in labour or product markets. Under the money matters paradigm, inflation is determined mainly by monetary disequilibrium. Although most models are based on the conventional paradigm, there are nevertheless important differences within that paradigm. In particular, there are differences in the inflation process (linear/non-linear Phillips curve), the expectation processes (backward-looking and/or model-consistent expectations), the channels through which monetary policy affects the economy (short-term interest rates or the yield curve), and the sensitivity of output and inflation to changes in interest rates and the exchange rate. The authors also examine the dynamic properties of the various models when those models use the simple monetary reaction function proposed by Taylor (1993). The eight deterministic shocks considered in this report reveal significant differences in the dynamic properties of the participating models. A comparison of the models' impulse-response functions with those of a vector autoregression suggests that some models do better than others in reflecting the typical response of the Canadian economy to certain shocks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.372
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2021
Admission routes2
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicCanadian Policy and GovernanceFrench-language works237,207