Títulos de deuda pública externa y su impacto en el tipo de cambio paralelo no oficial: caso venezolano, periodo (2006-2009)
Bibliographic record
Abstract
"La economía venezolana se ve afectada significativamente por las distorsiones que se producen entre el tipo de cambio oficial y el tipo de cambio del mercado paralelo. En este trabajo de investigación, se emplea la técnica Event Study para evaluar las variaciones anormales en el tipo de cambio del mercado paralelo no oficial en torno a la fecha en que se produce el anuncio de los resultados de adjudicación de siete títulos de deuda externa, como mecanismo permuta, emitidos durante el periodo (2006-2009). Los resultados demuestran, de acuerdo al test de Corrado (1989), que existe suficiente evidencia para considerar la presencia de diferencias significativas, con un nivel de confianza del 95%. Se concluye que en el tipo de cambio del mercado paralelo no oficial se aprecia la moneda local respecto al dólar, sólo cuando a los inversionistas les resultan atractivos estos instrumentos como mecanismo permuta."
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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; both teacher heads agree on what is shown here.
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".