Regional Economic Outlook, October 2021, Western Hemisphere: A Long and Winding Road to Recovery
Bibliographic record
Abstract
An economic recovery is underway in Latin America and the Caribbean (LAC) but the pandemic still casts shadows on much of the region. The recovery was robust in the first quarter of 2021 but lost momentum in some countries in the second quarter, reflecting the rebound in COVID-19 cases. Real GDP is projected to grow by 6.3 percent in 2021, followed by a more moderate growth of 3 percent in 2022, but would not catch up with pre-pandemic trends in the medium term as persistent weakness in labor markets raises risks of scarring. Broadly favorable external conditions, high commodity prices, and pent-up demand support short-term growth, while monetary and fiscal policy reversals work in the other direction. Risks to the outlook are tilted downward. Main downside risks are the emergence of more transmissible and deadlier COVID-19 variants, tightening of global financial conditions, sovereign debt rollover risks, and social unrest as a year with heavy election schedule looms. Fiscal policy should allocate sufficient resources for health spending, including vaccination, and continue to support households and firms in a more targeted fashion while the pandemic persists, backed by credible assurances of medium-term debt sustainability to maintain access to finance. Monetary policy has started to address inflationary pressures but should continue to support economic activity insofar as the dynamics of inflation expectations permit. If rising inflation threatens to de-anchor inflation expectations, central banks should tighten monetary policy to signal a commitment to inflation targets and avoid persistent increases in inflation. Preemptive and decisive action should be accompanied with clear and transparent communication. Financial policy should shift from blanket support to targeted support of viable firms, to ensure that necessary labor and capital reallocations are not hindered. Supply-side policies should foster inclusive growth, including through progressive and growth-friendly tax reforms and measures to intensify climate change adaptation and mitigation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.048 | 0.027 |
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".