G
Guillaume Hollard
Researcher at École Polytechnique
Publications - 50
Citations - 1007
Guillaume Hollard is an academic researcher from École Polytechnique. The author has contributed to research in topics: Public good & Contingent valuation. The author has an hindex of 17, co-authored 47 publications receiving 899 citations. Previous affiliations of Guillaume Hollard include University of Marne-la-Vallée & Centre national de la recherche scientifique.
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Journal ArticleDOI
Reconsidering the Effect of Market Experience on the “Endowment Effect”
Dirk Engelmann,Guillaume Hollard +1 more
TL;DR: In this article, the authors introduce a distinction between two types of uncertainty, choice uncertainty and trade uncertainty, both of which could lead to exchange asymmetry, and design an experiment where the two treatments impact dierently on trade uncertainty while controlling for choice uncertainty.
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Neural mechanisms underlying the impact of daylong cognitive work on economic decisions
TL;DR: It is shown that self-control capacity can be altered in healthy humans at the time scale of a workday, by performing difficult executive control tasks, and enhancement of choice impulsivity was related to a specific decrease in the activity of an LPFC region that was recruited by both executive and choice tasks.
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Starting point bias and respondent uncertainty in dichotomous choice contingent valuation surveys
TL;DR: The authors developed a dichotomous choice model with follow-up questions that describes the willingness to pay being uncertain in an interval and showed that when uncertain, individuals tend to answer "yes".
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Controlling starting-point bias in double-bounded contingent valuation surveys
TL;DR: In this article, starting point bias in double-bounded contingent valuation surveys was studied and the authors proposed a way to control for starting point biases with gains in efficiency, and they found that efficiency gains are lost when they control for undesirable response effects relative to a single dichotomous choice question.
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Theory of Mind: Did Evolution Fool Us?
TL;DR: First, this work proposes a meta-Bayesian approach that can predict the behaviour of ToM sophistication phenotypes who engage in social interactions and measures their adaptive fitness using evolutionary game theory, to show that one does not have to appeal to biological costs to explain the limitation of toM sophistication.