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Record W2116216435 · doi:10.1080/0003684032000125088

Ricardian equivalence, expansionary fiscal contraction and the stock market: a VECM approach

2003· article· en· W2116216435 on OpenAlexaboutno aff
Gianluigi Giorgioni, K. Holden

Bibliographic record

VenueApplied Economics · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsRicardian equivalencePrivate consumptionFiscal policyConsumption functionGovernment spendingStock marketKeynesian economicsMonetary economicsMacroeconomicsNew Keynesian economicsShock (circulatory)Monetary policyMarket economy

Abstract

fetched live from OpenAlex

The effect of government taxation on future consumption has been explained in three ways: the Keynesian approach, the Ricardian Equivalence proposition and the German view of Expansionary Fiscal Contraction (EFC). This paper reports empirical evidence on the validity of these explanations by examining the impact of a shock in government taxation upon private consumption, once the effect of the stock market is removed. A vector error-correction model is estimated for the USA, Japan, Germany, France, the UK, Italy and Canada for 1950–1997 and the impulse response functions of a shock in taxation and in expenditure are examined. The responses to an increase in government taxation appear to lend support to the EFC, while the responses to an increase in government expenditure upon consumption suggest that the reaction of private consumption is more in line with the traditional Keynesian approach.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.193
Teacher spread0.171 · 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

Citations13
Published2003
Admission routes1
Has abstractyes

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