Vyvíjí se prodeje nových osobních automobilů procyklicky? Analýza determinant korporátní a retailové poptávky v ČR a SR
Bibliographic record
Abstract
The thesis is focused on verifying the pro-cyclical relationship of sales of new passenger cars in the Czech Republic and Slovakia and the subsequent evaluation of the impact of macroeconomic variables in the period from the first quarter of 2005 to the third quarter of 2015. In total, there are four different models estimated of multiple linear regressions of car sales, where for the Czech R. the estimation of different sectors of households and firms is available as well. By comparing the Czech R. and Slovakia regarding aggregate sales, fuel prices and gross domestic products are especially crucial and the pro-cyclical relationship is successfully verified. The economic crisis at the turn of 2008-2009 hit especially Slovakia, while the effect in the Czech R. was offset by a positive shock to fuel prices. For the model of households the procyclical relationship is denied unlike from the model of firms, shock to GDP therefore only deviate sales to firms. For Czech R. is also confirmed a significant relationship of the sales with interest rate or population growth.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".