Do Inflation Expectations Matter for Small, Open Economies? Empirical Evidence from the Solomon Islands
Bibliographic record
Abstract
This paper examines the role of inflation expectations in Solomon Islands, a Pacific Island Country, using the Hybrid New Keynesian Phillips Curve model. The study applies the Generalized Method of Moments to estimate the Hybrid New Keynesian Philips Curve model using quarterly time series data for the period 2003–2017. The study confirms the existence of a Hybrid New Keynesian Philips Curve for Solomon Islands and finds that both backward-looking and forward-looking processes matter for inflation. Fuel prices and output gap are important indicators of current inflation. The study highlights key areas to further investigate including the weak monetary transmission mechanism and to examine the exchange rate pass through effect onto domestic prices. Studies on the role of inflation expectations in small, open, economies of the Pacific, such as Solomon Islands, is limited. This paper fills this void in literature by using quarterly time-series data to build a Hybrid New Keynesian Philips Curve model for Solomon Islands.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".