Sobre el papel de las expectativas en el ciclo económico costarricense: una investigación econométrica
Bibliographic record
Abstract
Expectations formation of future output fluctuations as a factor for explaining Costa Rican business cycle is the main subject addressed in this paper. The main contribution of this research is the proposition of an econometric model for estimating the effect that an increase in the next quarter expected real GDP has on current quarterly real GDP level. To this end, a dynamic stochastic general equilibrium model is used as the theoretical base for explaining the nature of the causality relationship between expected output variability and economic fluctuations. Furthermore, a state-space representation of a Rational Expectations (R.E.) model is developed for constructing an expectations updating mechanism which fully characterizes the dynamics of the expected output variability. This investigation concludes that a 1% increase in the next quarter’s expected GDP is predicted to generate, on average, an approximate 0.67% growth on current quarterly GDP (in real terms). From this modeling perspective, the econometric analysis concludes this effect is statistically significant and also identifies other relevant factors for explaining Costa Rican business cycle, such as the forecasts of economics variables that determine output fluctuations throughout time.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".