Is the wealth of the world’s billionaires not Paretian?

Kevin Capehart

Physica A: Statistical Mechanics and its Applications, 2014, vol. 395, issue C, 255-260

Abstract: According to previous studies that applied a popular goodness-of-fit test, the wealth of the world’s billionaires does not follow a Pareto distribution. The test applied by those studies assumes that wealth is measured without error, yet, if different sources of data on the wealthiest people in the world are compared, then wealth appears to be measured with error. This paper shows that the conclusions drawn from the goodness-of-fit test can change when the test is modified to account for measurement errors.

Keywords: Kolmogorov–Smirnov test; Pareto distribution; Wealth distribution; Measurement errors (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437113008807
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:395:y:2014:i:c:p:255-260

DOI: 10.1016/j.physa.2013.09.026

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().