J
Johannes Gerd Jaspersen
Researcher at Ludwig Maximilian University of Munich
Publications - 29
Citations - 229
Johannes Gerd Jaspersen is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Weighting & Expected utility hypothesis. The author has an hindex of 7, co-authored 25 publications receiving 153 citations. Previous affiliations of Johannes Gerd Jaspersen include Leibniz University of Hanover.
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Hypothetical Surveys and Experimental Studies of Insurance Demand: A Review
TL;DR: In this paper, a structured literature survey of experimental studies involving insurance demand choices and their experimental methodology is presented, with an overview of the status of the literature as is and a resource for the design of future experiments.
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The Influence of Affect on Heuristic Thinking in Insurance Demand
TL;DR: In this article, the authors observed the decision behavior of 272 subjects in a computer-based experiment that differentiates between incidental affect and integral affect, and found that positive incidental affect increased the use of representativeness heuristic, while negative incidental affect has no effect.
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Probability Elicitation Under Severe Time Pressure: A Rank‐Based Method
TL;DR: An ordinal ranking approach from multicriteria decision analysis is adopted to provide a fast and nonnumerical probability elicitation process that can elicit probabilities for a wide range of different event types, including new ways of eliciting probabilities for stochastically independent events and low‐probability events.
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The wealth effects of premium subsidies on moral hazard in insurance markets
TL;DR: In this article, the authors show that the wealth effects of premium subsidies decrease the sensitivity of the insured towards the monetary consequences of losses, which leads to less prevention efforts by the insured and thus increases moral hazard in the market.
ReportDOI
Predicting Insurance Demand from Risk Attitudes
TL;DR: In this article, measured risk attitudes and associated structural models were used to predict insurance demand in an experiment (n = 1,730) where subjects elicit measures of utility curvature, probability weighting, loss aversion, and preference for certainty and use them to parameterize seventeen common structural models.