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Record W2137418672 · doi:10.24149/gwp84

Sharing the Burden: Monetary and Fiscal Responses to a World Liquidity Trap

2011· article· en· W2137418672 on OpenAlexaff
David Cook, Michael B. Devereux

Bibliographic record

VenueFederal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLiquidity trapEconomicsMonetary economicsZero lower boundMonetary policyShock (circulatory)Interest rateMarket liquidityFiscal policyAggregate demandNominal interest rateDemand shockLiquidity riskMacroeconomicsReal interest rateInternational economics

Abstract

fetched live from OpenAlex

With integrated trade and financial markets, a collapse in aggregate demand in a large country can cause 'natural real interest rates' to fall below zero in all countries, giving rise to a global 'liquidity trap'. This paper explores the optimal policy response to this type of shock, when governments cooperate on both fiscal and monetary policy. Adjusting to a large negative demand shock requires raising world aggregate demand, as well as redirecting demand towards the source (home) country. The key feature of demand shocks in a liquidity trap is that relative prices respond perversely. A negative shock causes an appreciation of the home terms of trade, exacerbating the slump in the home country. At the zero bound, the home country cannot counter this shock. Because of this, it may be optimal for the foreign policy-maker to raise interest rates. Strikingly, the foreign country may choose to have a positive policy interest rate, even though its 'natural real interest rate' is below zero. A combination of relatively tight monetary policy in the foreign country combined with substantial fiscal expansion in the home country achieves the desired mix in terms of the level and composition of world expenditure. Thus, in response to conditions generating a global liquidity trap, there is a critical mutual interaction between monetary and fiscal policy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.071
GPT teacher head0.265
Teacher spread0.194 · 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.

Study designTheoretical or conceptual
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

Citations24
Published2011
Admission routes1
Has abstractyes

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