An Empirical Study on the Relationship between Advertising Expenditures and Sales in the Korean Liquor Industry
Why this work is in the frame
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Bibliographic record
Abstract
This study analyzes the mutual influence between advertising expenditures and corporate sales in the Korean liquor industry. A bivariate vector autoregressive model is estimated using quarterly data on the won value of advertising expenditures and sales from 2005 to 2012. The estimated impulse response functions show that a one-time increase in advertising expenditures leads to increase in corporate values with a two-quarter lag. However, the impact of advertising on liquor sales is more immediate and relatively large. There is evidence that sales Granger cause advertising expenditures. However, there is no evidence of causality from advertising expenditures to sales. The results suggest that sales are effective in determining advertising expenditures in the Korean liquor industry.
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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 | 0.033 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it