MétaCan
Menu
Back to cohort
Record W2206698985

Title: Going Dutch? The Impact of Oil Price Shocks on the Canadian Economy

2015· preprint· en· W2206698985 on OpenAlex
Jared C. Carbone, Kenneth J. McKenzie

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputable general equilibriumShock (circulatory)Oil priceEconomicsDutch diseaseExchange rateWelfareSupply shockRelative priceMonetary economicsMacroeconomicsMarket economyMonetary policy
DOInot available

Abstract

fetched live from OpenAlex

We examine the steady-state impact of a 10 percent reduction in the price of oil using a CGE model of the Canadian economy. The model includes a high degree of disaggregation at both the sectoral and provincial level, international and interprovincial flows of goods and services, labour which is mobile between sectors, capital which is partly mobile both inter-provincially and inter-sectorally, and equilibrium exchange rate adjustments arising from the oil price shock. The key result of our simulations is that--on balance--a negative oil price shock leaves Canadians worse off. We also find that the welfare losses associated with a negative oil price shock are shared broadly across the provinces. The corollary, of course, is that a positive price shock leaves Canadians better off. Our results have implications for the presence (or significance) of Dutch Disease in Canada; we argue that the disease is just one of a number of effects generated by oil-price changes.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.064
GPT teacher head0.297
Teacher spread0.233 · 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