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Record W1606064786

The Stability of Money Demand Function in Five Major Industrial Countries: Evidence from Cointegration Tests

2000· article· en· W1606064786 on OpenAlexaboutno aff
Madhusudan Ghosh

Bibliographic record

VenueIndian Economic Review · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCointegrationEconomicsInterest rateDemand curveDemand for moneyIncome elasticity of demandAggregate demandMonetary economicsEconometricsMonetary policyMacroeconomicsMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Using a variety of cointegration tests, this paper examines the existence of long-run equilibrium relationship in the demand function for real M1 money balance and the possibility of structural shift in the relationship in five major industrial countries. The exercise based on the maximum likelihood tests of cointegration offers strong evidence for long run equilibrium in the money demand function with short-term as well as long-term interest rate specifications in the U.S., U.K. and Canada. For Japan, the long-term interest rate specification yields more robust results than those with the short-term interest rate. The tests offer no conclusive evidence about the specification and existence of a stable long-run money demand function for Germany. The exercise also reveals significant cross-country variations in the magnitudes of real income elasticity and interest rate semi-elasticity over the specifications of the money demand function with respect to interest rates. The study offers no evidence of significant structural break in the long-run money demand function. Contrary to the recommendation of some earlier research, the results of this study suggest that the demand function for the narrowly defined monetary aggregate can be used in the formulation of monetary policy in most of the selected countries.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.093
GPT teacher head0.258
Teacher spread0.164 · 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 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

Citations4
Published2000
Admission routes1
Has abstractyes

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