Demand for Domestic and Imported Table Wine in British Columbia: A Source‐differentiated Almost Ideal Demand System Approach
Bibliographic record
Abstract
The premium quality wine market in British Columbia has grown substantively over the past decade. However, few empirical studies exist to quantify how consumers have responded to these wines. This paper employs a source‐differentiated almost ideal demand system (AIDS) model with time‐varying parameters to estimate the demand for premium quality wines using scanner sales data from the British Columbia wine market. The empirical findings reveal that consumers' response to foreign‐produced wines differs from that for wine produced locally. It is evident that the expenditure elasticities for British Columbia, European and Rest‐of‐the‐World white wines are larger than those for red wines. The high expenditure elasticities associated with British Columbia white wines may suggest that these wines are associated with higher quality. We reject the hypotheses of block separability and product aggregation. There is no evidence of structural change from the tests employed in this paper.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".