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Record W2166917900 · doi:10.3138/cpp.2013-033

Effects of Exchange Rates on Employment in Canada

2014· article· en· W2166917900 on OpenAlexafffundvenueabout
Haifang Huang, Ke Pang, Yao Tang

Bibliographic record

VenueCanadian Public Policy · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsWilfrid Laurier UniversityUniversity of Alberta
FundersUniversity of Toronto
KeywordsExchange rateLiberian dollarCommodityBoomEconomicsManufacturing sectorManufacturingLabour economicsMonetary economicsInternational economicsBusinessMarket economyFinance

Abstract

fetched live from OpenAlex

Under a flexible exchange rate regime, the Canadian economy is constantly affected by fluctuations in exchange rates. This paper focuses on the effect of the exchange rate on employment in Canada. We find that appreciation of the Canadian dollar has significant effects on employment in manufacturing industries; such effects are mostly associated with the export-weighted exchange rate, but not the import-weighted exchange rate. Meanwhile, the exchange rate has little effect on jobs in non-manufacturing industries. Because the manufacturing sector accounts for only about 10 percent of employment in Canada, the overall effect of the exchange rate on employment is small. In addition, we quantify the loss of manufacturing employment associated with a commodity market boom, during which the Canadian dollar tends to appreciate. Our estimates suggest that when commodity prices increase by 15.77 percent (one standard deviation of annual change in commodity prices between 1994 and 2010), manufacturing employment in Canada decreases by 0.8 percent, which is about 0.08 percent of the total employment.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.202
Teacher spread0.167 · 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 designObservational
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

Citations12
Published2014
Admission routes4
Has abstractyes

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