Potential Growth and Inflation: Estimates for Australia, the United States and Canada
Bibliographic record
Abstract
Abstract Estimates of potential output growth for Australia, the United States and Canada are presented and analysed in this article. We define potential growth as that growth rate consistent with a steady (domestic component of the) inflation rate (SIRG). At around 4 per cent per annum, Australia's SIRG has been relatively stable for the past 30 years, which seems inconsistent with the view that wide‐ranging microeconomic reform in the 1990s raised growth potential. However, we show that the reduction in employment growth in Australia from the 1980s to the 1990s may account for the absence of a rise in potential growth. In Canada and the United States the SIRGs are closer to 3 per cent, and we explore the reasons why potential growth estimates are higher for Australia than for North America. We also discuss why Australia's growth averaged less than its potential in the 1980s and 1990s and the possible use of our estimates for monetary policy purposes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 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".