The Heterogeneity of the Inflation Expectations of Italian Firms along the Business Cycle
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Bibliographic record
Abstract
We investigate how the cross-sectional heterogeneity of firms' inflation expectations reflects information availability and awareness of recent macroeconomic developments, observable firm characteristics, and broader macroeconomic developments using the Bank of Italy's survey on businesses' inflation and growth expectations. We find that, on average, about half of the dispersion of expectations is traceable to a lack of information about the most recent price developments; firms incorporate new information into their expectations within a quarter; the dispersion of expectations is related in a statistically significant way to some important aggregate economic variables, and it is greater when current inflation is farther away from the ECB's price stability goal. Since 2015 the weight attributed to prior beliefs of low inflation has steadily increased and the uncertainty surrounding them has decreased. Furthermore, since 2014 the empirical connection between the dispersion of expectations and the distance from the ECB price stability goal has become considerably weaker. These two facts suggest an increased risk of inflation expectations being de-anchored.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it