Survey of Price-Setting Behaviour of Canadian Companies
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.
Bibliographic record
Abstract
In many mainstream macroeconomic models, sticky prices play an important role in explaining the effects of monetary policy on the economy. Various theories have been set forth to explain why prices are sticky. This study takes a firm-level survey approach, in a spirit similar to Blinder et al. (1998), to shed some light on the question of why prices are sticky. In particular, the Bank of Canada's regional offices surveyed 170 Canadian firms for their views on price dynamics. The authors find that the most important motivators of price changes are price changes by competitors, changes in domestic input costs, and changes in demand. Surprisingly, but consistent with the results reported in Bils and Klenow (2002), the survey evidence suggests that more than 50 per cent of firms change their prices more than four times a year. Moreover, the survey indicates that prices change more frequently than they did ten years ago, because of more intense competition and advances in information technology.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it