Statistical properties of approval ratings for governments

Haruo Honjo, Masaki Sano, Hiroshi Miki and Hidetsugu Sakaguchi

Physica A: Statistical Mechanics and its Applications, 2015, vol. 428, issue C, 266-272

Abstract: We elucidate the statistical mechanical properties of the approval rating time series of several governments from the social dynamics of complex systems and sociophysics points of view. We find that the distribution of approval rating volatility shows exponential independently on nations. Introducing “volatility temperature” defined with the exponential distribution, it could be understood generally that high and low temperature nations correspond to parliamentary cabinet and presidential systems, respectively. We also find that approval rating time series of many governments shows self-affine fractality with negative or positive correlation. Approval rating time series is typical one of few negative correlation phenomena.

Keywords: Sociophysics; Approval rating; Time-series; Distributions; Self-affinity (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711500151X
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:428:y:2015:i:c:p:266-272

DOI: 10.1016/j.physa.2015.02.047

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 ().