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Government size and openness revisited: the case of financial globalization

2009· article· en· W2047218476 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKyklos · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsYork University
Fundersnot available
KeywordsFinancial integrationEconomicsOpenness to experienceGlobalizationGovernment spendingVolatility (finance)Government (linguistics)International economicsMonetary economicsFinancial marketEmerging marketsMacroeconomicsFinanceMarket economy

Abstract

fetched live from OpenAlex

SUMMARY The volatility of international capital flows to emerging markets has been well documented. Financial globalization may not in general fulfill its theoretical role as a risk sharing mechanism in financially underdeveloped economies, and hence may provide an impetus for compensating government spending. Comparative studies of the public sector have provided evidence of a robust positive association between government size and openness of the economy to trade flows. This paper extends the existing literature by investigating the relationship between government size and financial openness for 87 developing and developed countries between 1976 and 2003. The analysis reveals a positive relationship between exposure to international capital flows and government size. Furthermore, interacting capital flows with income levels shows that richer open economies tend to have smaller government size. These findings are consistent with the hypothesis that benefits of financial integration, in terms of improved risk‐sharing and consumption smoothing, accrue only beyond a certain minimum level of financial development.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.246

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 head0.013
GPT teacher head0.217
Teacher spread0.205 · 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