Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/260259 
Year of Publication: 
2019
Series/Report no.: 
Working Paper No. 2018:30
Publisher: 
Lund University, School of Economics and Management, Department of Economics, Lund
Abstract: 
Many economic models assume that random variables follow normal (Gaussian) distributions. Yet, real-world variables may be non-normally distributed. How sensitive are these models' predictions to distribution misspecifications? This paper addresses the question in the context of linear-quadratic beauty contests played by rationally inattentive players. It breaks with the assumption that the (common prior) distribution of the fundamental be Gaussian and provides a characterization of the class of equilibria in continuous strategies. The characterization is used to show that small departures from normality can lead to distributions of the equilibrium average action that are qualitatively different from those of Gaussian models. Numerical results show that the rate at which an analyst's errors in determining the fundamental's distribution are amplified in her prediction is higher when the true prior is non-Gaussian than when it is an equally-misspecified Gaussian.
Subjects: 
Coordination games
Beauty contest
Flexible information acquisition
Rational inattention
Error amplification
Misspecified priors
JEL: 
C72
D83
Document Type: 
Working Paper

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