Assessing Consumers’ Willingness to Pay for Different Units of Organic Milk: Evidence from Multiunit Auctions
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
Experimental auctions are normally conducted using single‐unit auctions. In this paper, we use the multiunit Vickrey auction to assess the determinants of consumers’ willingness to pay (WTP) for organic milk in a multiunit shopping scenario. We also analyze the effect of positive and negative information about organic farming on WTP. Our results suggest that consumers are willing to pay a premium for organic milk but that this WTP decreases with the number of units purchased. Results also suggest that health issues, high price of organic foods, taste, and lack of information on organic foods are factors that influence WTP for organic milk. The type of information provided also plays a relevant role. Specifically, we found that subjects’ WTP responds positively to positive information about organic farming and responds negatively to negative information. The provision of both positive and negative information does not affect WTP. Les enchères expérimentales sont en règle générale effectuées sous un cadre d’enchères de Vickrey à une seule unité. Dans le présent article, nous avons utilisé l’enchère de Vickrey à unités multiples pour évaluer les déterminants du consentement à payer (CAP) des consommateurs pour du lait biologique dans un contexte d’achats multiples. Nous avons également examiné les répercussions que l’information positive et négative à l’égard de l’agriculture biologique a sur le CAP. Nos résultats autorisent à penser que les consommateurs sont prêts à payer un prix plus élevé pour obtenir du lait biologique, mais que ce CAP diminue avec le nombre d’unités achetées. Nos résultats autorisent aussi à penser que les aspects liés à la santé, le prix élevé des aliments biologiques, le goût et le manque d’information sur ces aliments sont des facteurs qui influencent le CAP pour du lait biologique. Le type d’information joue également un rôle important. Nous avons observé que le CAP réagit favorablement à de l’information positive sur l’agriculture biologique et défavorablement à de l’information négative. La diffusion simultanée d’information positive et négative n’influence pas le CAP.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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