
Claire Mouminoux
دانشیار · Human Behaviors
University of California , Santa Barbara (UCSB)معرفی
Claire Mouminoux is an Associate Professor of Economics at the University of Strasbourg within the BETA Laboratory (Faculty of Economics and Management). Her research focuses on behavioral biases in uncertain environments, employing experimental economics, game theory, and econometric modeling to analyze decision-making in insurance markets. She holds a PhD from Claude Bernard Lyon 1 University and has held visiting positions at the University of California, Santa Barbara and research fellowships at SAF and Institut Louis Bachelier. Her work bridges theoretical frameworks with practical applications in behavioral insurance and market dynamics.
Education:
- PhD in Economics (2015–2018), Claude Bernard Lyon 1 University
- Master’s in Economics of Markets and Organization (2012–2014), Toulouse School of Economics
- Bachelor’s in Economics (2009–2012), Toulouse School of Economics
Research Interests: Her work examines human behaviors, cognitive biases, social norms, and game-theoretic models in insurance contexts. She investigates how obfuscation, honesty, and multiplicity of choices affect consumer decisions and market efficiency. Recent studies include licensing effects in insurance fraud and trade-offs between self-protection and insurance.
Teaching: She has taught courses in Mathematical Statistics, SAS Programming at UCSB, and Insurance Economics at Lyon 1 University. Her pedagogical focus includes risk theory, adverse selection, and behavioral insurance principles.
Awards:
- 2019 Prize of the Young Doctor in Actuarial Science (Scor)
Grants & Collaborations: Current projects include experimental studies on insurance fraud dynamics and self-protection strategies. She collaborates with institutions like the Munich Risk and Insurance Center and presents at conferences such as the ESA and WEAI.
Labs & Affiliations: BETA Laboratory (University of Strasbourg) and Prevent'Horizon Chair (Lyon).
Claire Mouminoux در سایتهای دیگر
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