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Record W3123186512

Is Fiscal Federalism Different in the European Union?: a comparative analysis through the allocation function

2009· preprint· en· W3123186512 on OpenAlexaboutno aff
Paulo Vila Maior

Bibliographic record

VenueRePEc: Research Papers in Economics · 2009
Typepreprint
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsFiscal federalismEuropean unionFederalismRedistribution (election)EconomicsFiscal unionContext (archaeology)DecentralizationEconomic systemEuropean integrationInternational economicsPublic economicsFiscal policyMacroeconomicsPoliticsPolitical scienceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

A political-economic model largely influenced by the monetarist school inspires European Economic and Monetary Union (EMU). Accordingly, neither income redistribution nor resource allocation is the cornerstone of economic policy mix. That role is reserved to the stabilisation function. Among those scholars who discuss whether the EU is comparable to existing cases of conventional fiscal federalism, the analysis is frequently concentrated on allocation and redistribution. Despite macroeconomic stabilisation is the key aspect of EMU, the paper undergoes a comparative analysis between the European Union (EU) and five mature federations (United States, Canada, Australia, Germany, and Switzerland) as far as resource allocation is concerned. It first surveys the operation of the allocation function in these countries, concluding that there are remarkable differences when the countries under examination are measured within a centralisation/decentralisation continuum. Resource allocation is subsequently reviewed in the context of EMU to capture convergences and divergences with the federations examined – and to what extent do convergent aspects contribute to put a label on the EU in terms of fiscal federalism. The awareness that the discussion is sometimes plagued with conceptual oversight – the confusion between the desirability and feasibility of fiscal federalism in the European integration context – paves the way to the empirical dimension. The paper concludes with an input from statistical data assessing to what extent inter-state solidarity exists (or is absent) in the EU.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.715
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.365
Teacher spread0.294 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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