The simple macroeconometrics of the quantity theory and the welfare cost of inflation
Bibliographic record
Abstract
The quantity theory of money hypothesizes that the price level is determined through the equilibration of money supply and demand. Predicated on this causal structure, a single-equation error correction model decomposes from a larger vector autoregressive system so as to make available bounds tests for a levels relationship that are robust to the univariate integration properties of the variables. This model is estimated using three monetary aggregates and two money demand specifications, for U.S. and U.K. annual data over the past century and quarterly post-WWII data. The classic homogeneity propositions of the quantity theory are testable, and are found to be most compatible with U.S. annual M2 using log-log money demand with structural change permitted. Nevertheless, the resulting welfare costs are similar to those yielded by the U.K. annual data, being less than one percent of GDP at interest rates experienced during the past century.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".