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Record W4387207755 · doi:10.1016/j.jeca.2023.e00332

Ex-post and real-time estimations of the output gap: A new assessment of fiscal procyclicality in the eurozone

2023· article· en· W4387207755 on OpenAlexvenueno aff
Giovanni Carnazza

Bibliographic record

VenueThe Journal of Economic Asymmetries · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsnot available
Fundersnot available
KeywordsOutput gapEconomicsEndogeneityFiscal policyBusiness cycleRevenueEconometricsMacroeconomicsEstimatorMonetary economicsPotential outputReal gross domestic productMonetary policyFinance

Abstract

fetched live from OpenAlex

The revisions implemented twice a year by the European Commission significantly change not only the forecasts but also the past values of the output gap. Consequently, many possible time series exist. Based on a new approach for estimating a real-time definition of the business cycle, we develop a comparative framework between ex-post and real-time variables using dynamic panel data models with FE, GLS and AB estimators. The real-time version of the output gap solves the important endogeneity issue between the budget balance and the output gap. Considering the period from 1995 to 2021 and the 19 Eurozone countries, our analysis deepens the cyclical nature of fiscal policy, pointing to robust procyclicality. Regardless of the specification, fiscal policy was found to be procyclical, but real-time and ex-post estimates have shown some interesting discrepancies (i.e., on a real-time basis, discretionary budgetary decisions have never been significantly expansionary, and the likely positive effects of automatic stabilisers during economic downturns have been weakened by spending reductions and/or revenue increases). Our findings may help the future reform of the Stability and Growth Pact.

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)0.002
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: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.045
GPT teacher head0.286
Teacher spread0.241 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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