Quentin André
Assistant Professor of Marketing at Leeds School of Business, University of Colorado Boulder
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Biography
My research focuses on judgment and decision making in general, with a special interest in consumer financial decision-making, numerical cognition, and probabilistic reasoning. I also care about open-science, replicability, and reproducibility.
On this website, I share a summary of my current projects and publications, tools and software that I have programmed, and occasional thoughts and tutorials on various research-related topics.
Interests
- Financial Decision-Making
- Probabilistic Reasoning
- Numerical Cognition
- Open Science
Education
- PhD in Marketing, 2018
INSEAD, France - MSc in Managerial and Financial Economics, 2012
HEC Paris, France - Bachelor in History of Arts, 2009
Sorbonne University, France
Publications
- André, Quentin, Nicholas Reinholtz, and Bart de Langhe (2022), “Can Consumers Learn Price Dispersion? Evidence for Dispersion Spillover Across Categories”, Journal of Consumer Research
- André, Quentin (2022) “Outlier Exclusion Procedures Must be Blind to the Researcher’s Hypothesis”, Journal of Experimental Psychology: General
- André, Quentin and Bart de Langhe (2022), “How (Not) To Test Theory with Data: Illustrations from Walasek, Mullett and Stewart”, Journal of Experimental Psychology: General
- André, Quentin and Bart de Langhe (2022), “No Evidence for Loss Aversion Disappearance and Reversal in Walasek and Stewart (2015)” Journal of Experimental Psychology: General
- André, Quentin, Pierre Chandon, and Kelly H. Haws (2019), “Healthy Through Presence or Absence, Nature or Science?: A Framework for Understanding Front-of-Package Food Claims”. Journal of Public Policy and Marketing
- André, Quentin, Ziv Carmon, Klaus Wertenbroch, Alia Crum, Douglas Frank, William Goldstein, Joel Huber, Leaf van Boven, Bernd Weber and Haiyang Yang (2018), “Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data”. Customer Needs and Solutions
Videos
Quentin André (University of Colorado) - Data Colada Seminar Series (19 February 2021)
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