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Record W1596094846

Monetary Implications of the Hayashi-Prescott Hypothesis for Japan

2003· preprint· en· W1596094846 on OpenAlexaff
David Andolfatto

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLiquidity trapEconomicsMonetary policyMonetary economicsProductivityShock (circulatory)Market liquidityInflation targetingInflation (cosmology)Private sectorFinancial crisisMacroeconomicsLiquidity crisis
DOInot available

Abstract

fetched live from OpenAlex

Hayashi and Prescott speculate that the anemic performance of the Japanese economy since the early 1990s can be understood in terms of how any "well functioning" private sector might react to an exogenous productivity shock. In particular, they downplay the role of monetary and financial factors in shaping Japan's "lost decade." But many view the monetary and financial developments in Japan as direct evidence of a " malfunctioning" financial sector: These developments include a steady decline in bank lending and the money multiplier unexpected declines in inflation (and even the price level); nominal interest rates that are close to zero; and massive infusions of liquidity by the Bank of Japan that seem to have no effect at all (a "liquidity trap"). The primary purpose of my paper is to show that the Hayashi-Prescott hypothesis is not inconsistent with these monetary and financial developments. To the extent that this is true, monetary and fiscal policies, or reforms directed exclusively at the banking sector, are unlikely to reestablish productivity growth. What is likely needed are economy-wide reforms that enhance the willingness and ability of individuals to adopt potentially disruptive technological advancements and work practices.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.057
GPT teacher head0.288
Teacher spread0.231 · 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 designObservational
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

Citations9
Published2003
Admission routes1
Has abstractyes

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