Traspaso de la Tasa de Interés de la Banca Comercial: ¿Es Chile Atípico?
Bibliographic record
Abstract
Este articulo presenta un analisis empirico del traspaso de la tasa de interes del mercado monetario a la tasa de interes bancaria en Chile, Estados Unidos, Canada, Australia, Nueva Zelanda y cinco paises de Europa. En general, el traspaso no parece ser atipico en Chile. Usando un modelo estandar de correccion de errores, se puede concluir que, al igual que en la mayoria de los paises estudiados, la medida de traspaso en Chile es incompleta. Pero, el traspaso tambien ocurre en Chile con mas rapidez que en muchos otros paises y es comparable al de Estados Unidos. Aunque para Chile no se encuentra evidencia significativa de asimetrias entre estados del ciclo de politica monetaria o de la tasa de interes, si parece haberla de inestabilidad en los parametros, en la epoca de las crisis asiatica y rusa. Sin embargo, no se encontro evidencia de que el cambio de regimen cambiario hacia un sistema flexible en 1999 o la nominalizacion de la tasa de interes objetivo del ano 2001 hayan tenido un efecto significativo sobre el proceso del mencionado traspaso.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".