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Jayson L. Lusk

Researcher at Purdue University

Publications -  395
Citations -  16842

Jayson L. Lusk is an academic researcher from Purdue University. The author has contributed to research in topics: Willingness to pay & Common value auction. The author has an hindex of 63, co-authored 385 publications receiving 14769 citations. Previous affiliations of Jayson L. Lusk include San Diego State University & West Texas A&M University.

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Reference dependence, consequentiality and social desirability in value elicitation: A study of fair labor labeling

TL;DR: In this article, the authors implement a large-scale survey to uncover Greek consumer preferences for a food labeling system that certifies fair working conditions for the workers employed at all production stages of agricultural production.
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Extent and Characteristics of Retail Fresh Beef Branding

TL;DR: In this paper, the extent and characteristics of branded fresh beef were analyzed from a sample of grocery stores in three metropolitan areas, and the extent of branded beef and type of brand both varied by store type, specific product, quality designation, package type, and presence of special labeling.
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The Value and Cost of Restaurant Calorie Labels: Results from a Field Experiment

TL;DR: In this article, a structural model of consumer demand was used to determine the value of information for restaurant menu labels, and the authors compared the effectiveness of calorie labels to a fat tax at reducing caloric intake.
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The Basket-Based choice Experiment: A method for food demand policy analysis

Vincenzina Caputo, +1 more
- 01 May 2022 - 
TL;DR: In this article , a basket-based choice experiment is presented, where consumers select their preferred food item or combination thereof, most commonly three or four items for their basket, and estimates are utilized in a multivariate logit model to calculate the probability of bundle selection and individual food price elasticities.
Journal ArticleDOI

Neural antecedents of a random utility model

TL;DR: For example, the authors used functional magnetic resonance imaging (fMRI) data observed when consumers view a quality-differentiated food product labeled with different attributes to determine the predictive validity of the random utility model used in economic studies of consumer choice.