Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/171852
Authors: 
Villas-Boas, Sofia B.
Fu, Qiuzi
Judge, George
Year of Publication: 
2015
Citation: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 3 [Year:] 2015 [Issue:] 4 [Pages:] 698-708
Abstract: 
In this paper, we consider the question and present evidence as to whether or not Benford's exponential first significant digit (FSD) law reflects a fundamental principle behind the complex and nondeterministic nature of large-scale physical and behavioral systems. As a behavioral example, we focus on the FSD distribution of Australian micro income data and use information theoretic entropy methods to investigate the degree that corresponding empirical income distributions are consistent with Benford's law.
Subjects: 
first significant digits
Benford’s law
information theoretic methods
empirical likelihood
minimum divergence measure
JEL: 
C1
C10
C24
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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