We propose a collective induction treatment as an aggregator of information and preferences, which enables testing whether consumer preferences for food quality elicited through experimental auctions are robust to aggregation. We develop a two-stage estimation method based on social judgement...

Food consumers face uncertainty and demand high quality and safe food products, apparently with as much information as possible. Today's agriculture and food industry aims at reducing market failures from information asymmetry. Such information provision can be successful only if it meets the...