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Record W2026295518 · doi:10.1080/0269217042000186697

Similitudes and Discrepancies in Post‐Keynesian and Marxist Theories of Investment: A Theoretical and Empirical Investigation

2004· article· en· W2026295518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Review of Applied Economics · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsUniversity of Ottawa
FundersUniversity of Missouri-Kansas City
KeywordsMarxist philosophyInvestment functionEconomicsPost-Keynesian economicsRate of profitInvestment (military)Keynesian economicsInflation (cosmology)Neoclassical economicsEconometricsProfit (economics)MacroeconomicsProduction (economics)Law

Abstract

fetched live from OpenAlex

There has been a substantial amount of convergence between post‐Keynesian and Marxist economics, the writings of Kalecki being common ground for both traditions. Still, some differences remain. While authors in both traditions seem to agree to a large extent on short‐period issues, long‐period matters relating to the role of saving, the rate of profit, inflation, crowding out, excess money supply, are still contentious. All this seems to depend on the exact form taken by the investment function, more specifically the role of capacity utilization. Four different equations are set up to be tested, two of which correspond to two variants of the Marxist view, while the other two equations correspond to a naive and a sophisticated Kaleckian view, the latter being based on hysteresis. The equations are tested on three sets of annual Canadian data. Various statistical tests are applied to all four equations in an effort to rank them, notably information and encompassing tests. The Kaleckian equation with hysteresis generally comes out empirically with the preferred statistical properties, when manufacturing data on actual rates of capital accumulation are considered separately or when both realized and intended rates of investment for the total industrial sector are used.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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