An Empirical Investigation of the Impact of Gasoline Prices on Grocery Shopping Behavior
Bibliographic record
Abstract
The authors empirically examine the effect of gas prices on grocery shopping behavior using Information Resources Inc. panel data from 2006 to 2008, which track panelists’ purchases of almost 300 product categories across multiple retail formats. The authors quantify the impact on consumers’ total spending and examine the potential avenues for savings when consumers shift from one retail format to another, from national brands to private labels, from regular-priced to promotional products, and from higher to lower price tiers. They find a substantial negative effect on shopping frequency and purchase volume and shifts away from grocery and toward supercenter formats. A greater shift occurs from regular-priced national brands to promoted ones than to private labels, and among national brand purchasers, bottom-tier brands lose share, midtier brands gain share, and top-tier brand share is relatively unaffected. The analysis also controls for general economic conditions and shows that gas prices have a much larger impact on grocery shopping behavior than broad economic factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".