Trend and business cycles with <i>external markets</i>: Non‐capacity generating semi‐autonomous expenditures and effective demand
Bibliographic record
Abstract
Abstract The Global Financial Crisis has underlined the importance of developments in the household sector to explaining macro patterns. Some recent papers have discussed the role of non‐capacity generating semi‐autonomous expenditures in growth theory. This literature ties together several aspects of heterodox thought: growth and distribution; the Sraffian supermultiplier; Duesenberry's relative income hypothesis; the endogenous money approach and Kalecki–Luxemburg external markets. The basic message is that non‐wage sources of effective demand, based on mortgage and consumer credit, can play a key role in inducing capacity investment and driving long‐run output growth. This article gives a broad overview of the role of financed‐induced semi‐autonomous expenditures in growth, cycles and crises, and thus criticizes some of the previous approaches that claim to mimic actual cycles while abstracting from these crucial determinants of economic activity.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".