Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/261013 
Year of Publication: 
2019
Series/Report no.: 
Working Paper No. 2019-07
Publisher: 
The University of Utah, Department of Economics, Salt Lake City, UT
Abstract: 
This paper explores the foundations and properties of the quantal response statistical equilibrium (QRSE) model developed by Scharfenaker and Foley (2017). The QRSE model provides a behavioral foundation for the formation of aggregate economic outcomes in social systems characterized by negative feedbacks. It can approximate a wide range of commonly encountered theoretical distributions that have been identified as economic statistical equilibrium and displays qualitatively similar behavior to the Subbotin and Asymmetric Subbotin distributions that range from the Laplace to the Normal distribution in the limit. Asymmetry in the frequency distributions of economic outcomes arises from the unfulfilled expectations of entropy-constrained decision makers. This paper demonstrates the logic of the QRSE model in an application to US stock market data dating back to 1926. The model provides a parsimonious explanation for the distribution of rates of return on private equities as well as clear behavioral foundation for asset price fluctuations.
Subjects: 
QRSE
Quantal response
Maximum entropy
Statistical equilibrium
Information theory
JEL: 
C1
C18
C70
D8
Document Type: 
Working Paper

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