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Record W4409436146 · doi:10.3390/jrfm18040207

Fiscal Sustainability and the Informal Economy: A Non-Linear Perspective

2025· article· en· W4409436146 on OpenAlexvenueno aff
Dănuț Georgian Mihai, Bogdan Andrei Dumitrescu, Andreea-Mădălina Bozagiu

Bibliographic record

VenueJournal of risk and financial management · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityPerspective (graphical)Fiscal sustainabilityEconomicsEconomic systemEconomyFiscal policyMacroeconomicsMathematicsEcology

Abstract

fetched live from OpenAlex

This study examines the issue of fiscal sustainability—measured through the response of the budgetary balance to public debt levels—for 36 OECD countries and candidate countries, and it shows that the relationship is non-linear and depends on the level of the informal economy as a threshold variable. Using the Panel Smooth Transition Regression model, the analysis uncovers regime-dependent fiscal behavior, indicating that the effect of public debt on the budget deficit varies significantly under different economic conditions. In regime 1—at a low level of the informal economy-, the impact of debt on the budgetary deficit is negative and significant, but in regime 2—when the informal economy exceeds the transition threshold-, this impact becomes positive and significant. These results indicate that, in an economic context with a larger informal economy, debt may have a different effect on the budgetary deficit, possibly due to factors such as reduced fiscal efficiency or loss of government revenue. Therefore, fiscal sustainability can be affected by the level of the informal economy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.211
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations2
Published2025
Admission routes1
Has abstractyes

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