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Record W2149219228 · doi:10.1093/jeea/jvy053

International Spillovers of Large-Scale Asset Purchases

2019· article· en· W2149219228 on OpenAlexaff
Sami Alpanda, Serdar Kabaca

Bibliographic record

VenueJournal of the European Economic Association · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsBank of Canada
Fundersnot available
KeywordsSpillover effectPortfolioEconomicsBondMonetary economicsAsset (computer security)CurrencyBalance (ability)General equilibrium theoryCurrent accountImperfectInternational economicsFinancial economicsExchange rateMacroeconomicsFinance

Abstract

fetched live from OpenAlex

Abstract This paper evaluates the international spillover effects of large-scale asset purchases (LSAPs) using an estimated two-country dynamic stochastic general-equilibrium model with nominal and real rigidities and portfolio balance effects. Portfolio balance effects arise from imperfect substitutability between short- and long-term bond portfolios in each country, as well as between domestic and foreign bonds within these portfolios. We show that LSAPs in the United States lower long-term yields and stimulate economic activity not only in the United States, but also in the rest of the world (ROW) economy. This occurs despite the currency appreciation in the ROW and the resulting deterioration in their trade balance. The key for this result is the decline in the ROW term premia through the portfolio balance channel, as the relative demand for ROW long-term bonds increases following an LSAP in the United States. Our model indicates that US asset purchases that generate the same output effect as US conventional monetary policy has larger international spillovers due to stronger portfolio balance effects. We also show that international openness in financial markets reduces the stimulatory effects of LSAPs in the originating country, while increasing their international spillover effects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.214
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations71
Published2019
Admission routes1
Has abstractyes

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