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Record W1829077789 · doi:10.7202/600944ar

L’efficacité de la politique budgétaire en économie ouverte

2009· article· en· W1829077789 on OpenAlexvenueaboutno aff
Munir A. Sheikh, Patrick Grady, Paul H. Lapointe

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsMonetarismKeynesian economicsFiscal policyWageNew Keynesian economicsInvestment (military)Macroeconomic modelMacroeconomicsMonetary policyMonetary economicsPolitics

Abstract

fetched live from OpenAlex

The debate between keynesians and monetarists on the effectiveness of fiscal policy has been going for quite a long time, and all efforts to resolve it have met with little success. While everyone would agree that the controversy can only be resolved on empirical grounds, there is no agreement among the two schools as to what constitutes an appropriate test of their respective theories. In this paper, a small macroeconomic model has been developed which incorporates the major elements of the keynesian-monetarist debate and which can produce either keynesian or monetarist results, depending upon the values taken by the particular sets of coefficients. The model has not been estimated and is not designed, therefore, to evaluate the actual impact of fiscal policy measures in Canada. Rather the coefficients of the model have been either borrowed from existing models or set a priori, in order to identify those aspects or parameters of the model which are most important in determining the effectiveness of fiscal policy. Simulations performed with the model indicate a number of factors that are critical in producing either Keynesian or monetarist results. These are: 1) the expected—real—interest elasticity of private real investment; 2) the substitutability between government bonds, money and other assets; 3) the specification of wage behaviour and the degree of influence of price expectations; 4) the sensitivity of nominal interest rates to changes in the inflationary expectations; 5) the extent to which future taxes are anticipated by consumers and 6) the mechanism for determining the price of exports.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.222
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.241
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2009
Admission routes2
Has abstractyes

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