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Record W2185401515 · doi:10.12735/jfe.v4i1p39

The Effects of Global and Regional Shocks on Asian Business Cycle Synchronization

2016· article· en· W2185401515 on OpenAlex
Rui Liu

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Finance & Economics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsSynchronicityEast AsiaBusiness cycleSynchronization (alternating current)GlobalizationSample (material)Economic geographyVector autoregressionEconomicsEconometricsGeographyChinaMacroeconomicsComputer science

Abstract

fetched live from OpenAlex

This paper studies the evolution of the degree of Asian business cycle synchronization and assesses the impact of global and regional shocks on output interdependence across Asia since the 1990s. We employ a dynamic factor model to decompose output fluctuations into a global factor common to all countries in our sample, regional factors that capture any remaining common fluctuations across countries within each region, and an idiosyncratic component that captures country-specific characteristics. In particular, we categorize the 19 countries in our sample into four groups -- non-Asia, East Asia, South Asia and Southeast Asia, thereby accounting for heterogeneous dynamics of sub-regional co-movement. Results show that, over the past two decades, global shocks and regional shocks are playing a critical role in determining Asian output synchronization. As the process of globalization has picked up, both shocks increasingly explain the co-movement of output, which leads to a higher degree of business cycle synchronicity across Asia.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.008
GPT teacher head0.201
Teacher spread0.194 · 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