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Record W2344323273 · doi:10.1111/roie.12229

Firm Dynamics in Retail Trade: The Response of Canadian Retailers to Exchange Rate Shocks

2016· article· en· W2344323273 on OpenAlex

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

VenueReview of International Economics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsQueen's UniversityUniversity of CalgaryUniversity of Victoria
Fundersnot available
KeywordsMargin (machine learning)Liberian dollarShock (circulatory)Exchange rateCurrencyDemand shockMonetary economicsEconomicsBusinessFinance

Abstract

fetched live from OpenAlex

Abstract We use comprehensive firm‐level data to estimate the responses of heterogeneous Canadian retail firms to real exchange rate movements. Our analysis focuses on a period characterized by large fluctuations in the Canadian dollar, providing an opportunity to quantify both intensive and extensive margin responses in retail industries to real exchange rate shocks and to examine how those responses differ across firms, locations, and sub‐industries. Our results indicate that a real Canadian currency appreciation significantly reduces a retailer's sales, employment, and profits. The strength of this negative effect is decreasing in the distance of a retailer from the US‐Canada border. We do not find evidence of a strong relationship between real exchange rate movements and the number of operating firms nor the probability of firm survival. These findings are consistent with the view that a real Canadian dollar appreciation increases cross‐border shopping by Canadians, resulting in a negative demand shock for Canadian retailers, and the dominant response by firms to such a shock is through the intensive margin.

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)0.002
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 score0.864
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.230
Teacher spread0.175 · 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