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Record W2914727952

Monetary Easing, Investment and Financial Instability

2018· article· en· W2914727952 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSPIRE (Sciences Po) · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyBanco de PortugalBanco de EspañaUniversität MannheimUniversité de GenèveCentre for Economic Policy ResearchBanca d'ItaliaEidgenössische Technische Hochschule ZürichYork UniversityEinaudi Institute for Economics and FinanceAarhus Universitet
KeywordsQuantitative easingMonetary economicsInvestment (military)EconomicsInstabilityFinancial systemBusinessMonetary policyFinanceCentral bank
DOInot available

Abstract

fetched live from OpenAlex

This paper studies a model of the interest-rate channel of monetary policy in which a low policy rate lowers the cost of capital for firms thereby spurring investment, but also induces destabilizing “carry trades” against their assets. If the public sector does not have sufficient fiscal capacity to cope with the large resulting private borrowing, then carry trades and productive investment compete for scarce funds, and so the former crowd out the latter. Below an endogenous lower bound, monetary easing generates only limited investment at the cost of large and socially wasteful financial risk taking.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.480

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 studies0.0000.001
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 head0.036
GPT teacher head0.227
Teacher spread0.190 · 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