Persistent consumer response to a nationwide food safety recall in urban India
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Little is known about consumer response to food safety recalls in low- and middle- income countries. Using an event-study framework, this paper examines the immediate and long-term changes in noodle purchases after the nationwide removal of Maggi instant noodles from the market in India in 2015. We show that this recall had a negative impact on the purchases of Maggi noodles among urban households for at least two years. This provides evidence of the huge costs of recalls on food producers that can be leveraged by policymakers to promote food safety. We also find strong evidence for a positive spillover effect to non-Maggi noodles that is more persistent among households with more regular purchasing habits of Maggi noodles. This indicates that consumers with more persistent habits of buying a recalled product are less likely to stigmatize alike food products under different brands. Our results are robust to alternative assumptions of pre-trends in purchases and placebo tests.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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