Woodford's <i>Interest and Prices</i> from the Perspective of the History and Methodology of Economic Thought: A Mini-Symposium
Bibliographic record
Abstract
Michael Woodford's 2003 Interest and Prices has been regarded as the most important contribution to monetary economics since the publication of Don Patinkin's Money, Interest and Prices fifty years ago. Like Patinkin, Woodford sought inspiration in Knut Wicksell's 1898 Interest and Prices . But, while Patinkin built on Wicksell's incipient formulation of the real balance effect and stability analysis of the price level (see Boianovsky 1998), Woodford has elaborated on Wicksell's concept of a pure credit economy (called “cashless economy” in the 2003 version), a theme largely disregarded by Patinkin. This difference in perspective is in part related to the fact that Patinkin's concern was mainly monetary theory, whereas Woodford has focused on monetary policy instead. In early 2004 I invited a group of scholars to discuss Wood-ford's book from the point of view of the history of thought and methodology in a session at the History of Economics Society meetings, held in June of that year at Victoria University, Toronto. Michael Woodford was also invited to participate in the session and reply to the comments. The revised papers are published here as a mini-symposium.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
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".