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Record W2464678855 · doi:10.2298/pan1603339d

The sustainability of current account in the presence of endogenous multiple structural breaks: Evidence from developed and developing countries

2016· article· en· W2464678855 on OpenAlexaboutno aff
Fikret Dülger

Bibliographic record

VenuePanoeconomicus · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCointegrationNull hypothesisEconomicsSustainabilityNull (SQL)Current accountStructural breakDeveloping countryCreditorEconometricsMacroeconomicsMonetary economicsInternational economicsEconomic growthBiologyExchange rate

Abstract

fetched live from OpenAlex

The purpose of this study is to test for the sustainability of current account in 18 developed and 10 developing countries. The stability of the relationship between export (inflows) and import (outflows) is assessed using the tests proposed by Mohitosh Kejriwal and Pierre Perron (2010). In particular, the nature of the long-run relationship, when multiple regime shifts are identified endogenously, is analyzed using the residual-based test of the null hypothesis of cointegration with multiple breaks proposed by Kejriwal (2008). The results clearly indicate that, for all countries, (i) the stability tests reject the null of coefficient stability of the long-run relationship between exports and imports; (ii) the cointegration tests that correspond to the number of breaks selected reject the null of cointegration (weak form of sustainability); and (iii) the strong form of sustainability hypothesis is not supported by the data for all countries in most regimes but not for 20 of 28 countries especially in the last regime (the post-2000 era). For eight countries (Canada, New Zealand, Spain, Brazil, Mexico, South Africa, Thailand, and Turkey), the findings may be perceived as a warning to creditors and policymakers unless there are policy distortions or permanent productivity shocks to the domestic economies.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.111
GPT teacher head0.273
Teacher spread0.162 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2016
Admission routes1
Has abstractyes

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