Monetary Policy Report, April 2023
Bibliographic record
Abstract
Inflation would peak in March and start to gradually decline as of the second quarter of 2023, bringing inflation back to the 3% target over the next two years. In March 2023, inflation continued to increase, reaching 13.3%. This increase is mainly explained by higher-than-expected growth of perishable food prices, a demand that remains persistently strong, the high inflation of 2022 being used in many cases to calculate price adjustments in 2023, and the aggregate effects of exchange rate increases in recent months, among others. Starting in the second quarter, inflation would begin to fall and this decline would continue over the next two years. This would occur as food price increases gradually abate, exchange rate pressures on prices would moderate, and import logistics costs and prices of imported inputs, goods and food would continue to temper. Several factors support this expected inflation decline, including lower cost increases measured by the producer price index, decreases in certain measures of inflation expectations of financial market operators or those who monitor the behavior of the economy, and lower observed increases in food prices. The cumulative monetary policy interest rate adjustments will contribute to lower excess spending and reduce inflation. The economy would maintain the high levels of activity already achieved, albeit with lower growth rates, which would contribute to reducing inflation. The economy is growing at a lower pace than in the previous year, which is normal after two years of rapid growth that led to high output levels and a significant decline in the unemployment rate, which is at its lowest level since 2018. The current high production levels are the result of high spending by both households and businesses (consumption and investment). This spending is excessive relative to the country's income, reflected in the strong growth of imports and the large external deficit seen in 2022. The technical staff forecasts economic growth of 1% in 2023 and 1% in 2024, mainly due to moderate consumption and investment. These low growth rates would lessen inflation and the external deficit over the next two years. A heightened policy interest rate is required to ensure price stabilization and contribute to the sustainable growth of the Colombian economy. Accordingly, Banco de la República has adjusted its monetary policy interest rate in response to the high demand and inflation. From September 2021 to April 2023, the Board of Directors raised the monetary policy interest rate from 1.75% to 13.25%.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.130 | 0.155 |
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".