Monetary Policy and Income Distribution: The Post-Keynesian and Sraffian Perspectives
Bibliographic record
Abstract
This paper examines the post-Keynesian and Sraffian perspectives on the relationship between monetary policy and income distribution, highlighting their endogenous demand-led money approach and rejection of the neutrality of interest rates, and monetary policy as tool of redistribution among social classes. Both approaches acknowledge that the central bank can influence interest rates and hence, the functional distribution of income. These shared ideas recognize the political nature of interest rates and the distributive impacts of monetary policy. Although all are crucial common points, some differences persist; PK theory often emphasizes the impact of monetary policy on rentiers vs. non-rentier classes, while Sraffians focus more on wage earners vs. non-wage earners. Further, while PK theorists advocate for alternative monetary policy rules, Sraffians favor discretionary policy tailored to each economy's unique institutional framework. The paper concludes by suggesting that these shared critical conceptions, despite minor differences, should stimulate collaborative efforts to further develop heterodox theories of monetary policy and income distribution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".