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Record W4391281480 · doi:10.31235/osf.io/vq4ht

The Long and Unfinished Road to Friedman and Meiselman’s “The Relative Stability of Monetary Velocity and the Investment Multiplier”

2024· preprint· en· W4391281480 on OpenAlexaff
George S. Tavlas

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsEconomicsKeynesian economicsMultiplier (economics)Investment (military)Stability (learning theory)Monetary economicsMathematical economicsComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Milton Friedman and David Meiselman’s 1963 article “The Relative Stability of Monetary Velocity and the Investment Multiplier in the United States, 1897-1958,” was one of the most influential studies to come out of the Keynesian-monetarist debates of the 1960s and 1970s. The gestation of the article, however, is shrouded with considerable inaccuracy and ambiguity. I use archival materials to provide a more accurate chronological ordering of the gestation of the article than has hitherto been available. I show that the gestation was subject to considerable delays. I provide reasons that explain why a long-promised follow-up paper was never completed and why a book sequel to Friedman’s 1956 Studies in the Quantity Theory of Money, planned as a co-edited work shortly after the appearance of the Friedman and Meiselman 1963 article, was not published until 1970 and was edited by Meiselman alone.

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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.010
Scholarly communication0.0060.010
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.222
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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