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Record W2208230257 · doi:10.1142/s0217590815500873

INTERNATIONAL EVIDENCE ON REAL INTEREST RATE PERSISTENCE

2015· article· en· W2208230257 on OpenAlexaboutno aff
Zeynel Abidin Özdemir, Cagdas Ekinci, Korhan K. Gökmenoğlu

Bibliographic record

VenueThe Singapore Economic Review · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsEconometricsInterest rateEconomicsReal interest ratePersistence (discontinuity)Structural breakMacroeconomics

Abstract

fetched live from OpenAlex

This paper investigates the persistency in the ex-post real interest rates in the presence of endogenous structural breaks for Australia, Austria, Belgium, Canada, Denmark, France, Germany, Ireland, Italy, the Netherlands, New Zealand, Norway, Switzerland, the UK and the USA using seasonally adjusted quarterly data. The procedure used in this study extends the previous research in the respect of investigating degree of persistency of the ex-post real interest rates series by allowing for possible process shifts at endogenously determined more than two structural breaks dates following the principles suggested by Lumsdaine and Papell (1997). The results from the study show that real interest rates are very persistent when such breaks are not taken into account. However, the findings also indicate low persistency in real interest rates for all countries when such breaks are allowed in the data-generating process. We find that endogenously determined structural breaks substantially reduce the degree of persistency of the real interest rate series, which has important theoretical implications as well.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.555
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.013

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 head0.447
GPT teacher head0.323
Teacher spread0.124 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations5
Published2015
Admission routes1
Has abstractyes

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