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Record W4400548728 · doi:10.1093/restud/rdae075

Trade Wars, Nominal Rigidities, and Monetary Policy

2024· article· en· W4400548728 on OpenAlexafffund
Stéphane Auray, Michael B. Devereux, Aurélien Eyquem

Bibliographic record

VenueThe Review of Economic Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaAgence Nationale de la Recherche
KeywordsEconomicsMonetary policyKeynesian economicsMonetary economicsInternational economicsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract This paper shows that the outcome of trade wars for tariffs and welfare will be affected by the monetary policy regime. The key message is that trade policy interacts with monetary policy in a way that magnifies the welfare costs of discretionary monetary policy in an international setting. If countries follow monetary policies of flexible inflation targeting, trade wars are relatively mild, with low equilibrium tariffs and small welfare costs. Discretionary monetary policies imply much higher tariffs, high inflation rates, and substantially larger welfare costs. We quantify the effects of a global trade war among major economies using estimates of trade elasticities, economic size, net foreign assets, and trade openness. We find large welfare benefits of an inflation targeting monetary policy for all countries.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.844
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.051
GPT teacher head0.299
Teacher spread0.249 · 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
GenreReview

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

Citations10
Published2024
Admission routes2
Has abstractyes

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