How Do Estimates of Inflation Persistence in Malta Compare with Other EU Countries?
Bibliographic record
Abstract
After the European sovereign debt crisis in 2012, inflation has been unexpectedly low across most of the economies making up the euro area, as well as the Monetary Union aggregate, with economists referring to this phenomenon as the “missing inflation” puzzle. As the smallest and one of the most open economies in the euro area, Malta has also registered a period of low inflation post-2012, despite registering an average GDP growth rate of 6.9% per annum over the period 2013-2019. This paper estimates the extent of inflation persistence of Malta and a number of EU economies for both the pre- and post-2012 period. Measures of persistence are computed as the sum of autoregressive coefficients derived from univariate regressions on both aggregated and disaggregated inflation series. Estimates of persistence in Malta have increased when the sample covers the post-2012 period. In terms of the main sub-components, energy inflation has a substantially higher persistence compared to the pre-2012 period, reflecting both external and country-specific factors. Most other EU countries also reported an increase in persistence when including the post-2012 period in the sample although the estimates for Malta, both at the aggregate and disaggregated indices, remain less persistent.
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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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".