This paper explores several types of income which have not been explored so far by authors who tackled income and wealth distribution using Statistical Physics. The main types of income we plan to analyze are income before redistribution (or gross income), income of retired people (or pensions), and income of active people (mostly wages). The distributions used to analyze income distributions are Fermi-Dirac distribution and polynomial distribution (as this is present in describing the behavior of dynamic systems in certain aspects). The data we utilize for our analysis are from France and the UK. We find that both distributions are robust in describing these varieties of income. The main finding we consider to be the applicability of these distributions to pensions, which are not regulated entirely by market mechanisms
| Published in | American Journal of Physics and Applications (Volume 2, Issue 2) |
| DOI | 10.11648/j.ajpa.20140202.14 |
| Page(s) | 61-66 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Fermi-Dirac Distribution, Polynomial Distribution, Gross Income, Pensions, Wages, Cumulative Distribution Function
| [1] | E. Oltean, F. V. Kusmartsev, “A study of methods from statistical mechanics applied to income distribution”, ENEC, Bucharest-Romania, 2012. |
| [2] | E. Oltean, F.V. Kusmartsev, “A polynomial distribution applied to income and wealth distribution”, Journal of Knowledge Management, Economics, and Information Technology, Bucharest, Romania, 2013. |
| [3] | URL: http://data.library.utoronto.ca/datapub/codebooks/cstdsp/13f0022/2001/analytic.htm. |
| [4] | Upper limit on income by decile group in 1987–2009 in Finland, URL: http://www.stat.fi/til/tjt/2009/tjt_2009_2011-05-20_tau_005_en.html. |
| [5] | URL: http://en.wikipedia.org/wiki/Fermi%E2%80%93Dirac_statistics#Distribution_of_particles_over_energy. |
| [6] | URL: http://www.ons.gov.uk/ons/search/index.html?newquery=household+income+by+decile&newoffset=0&pageSize=50&sortBy=&applyFilters=true |
| [7] | URL: www.insee.fr |
APA Style
Elvis Oltean, Fedor V. Kusmartsev. (2014). Applications of Statistical Physics Distributions to Several Types of Income. American Journal of Physics and Applications, 2(2), 61-66. https://doi.org/10.11648/j.ajpa.20140202.14
ACS Style
Elvis Oltean; Fedor V. Kusmartsev. Applications of Statistical Physics Distributions to Several Types of Income. Am. J. Phys. Appl. 2014, 2(2), 61-66. doi: 10.11648/j.ajpa.20140202.14
AMA Style
Elvis Oltean, Fedor V. Kusmartsev. Applications of Statistical Physics Distributions to Several Types of Income. Am J Phys Appl. 2014;2(2):61-66. doi: 10.11648/j.ajpa.20140202.14
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajpa.20140202.14,
author = {Elvis Oltean and Fedor V. Kusmartsev},
title = {Applications of Statistical Physics Distributions to Several Types of Income},
journal = {American Journal of Physics and Applications},
volume = {2},
number = {2},
pages = {61-66},
doi = {10.11648/j.ajpa.20140202.14},
url = {https://doi.org/10.11648/j.ajpa.20140202.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20140202.14},
abstract = {This paper explores several types of income which have not been explored so far by authors who tackled income and wealth distribution using Statistical Physics. The main types of income we plan to analyze are income before redistribution (or gross income), income of retired people (or pensions), and income of active people (mostly wages). The distributions used to analyze income distributions are Fermi-Dirac distribution and polynomial distribution (as this is present in describing the behavior of dynamic systems in certain aspects). The data we utilize for our analysis are from France and the UK. We find that both distributions are robust in describing these varieties of income. The main finding we consider to be the applicability of these distributions to pensions, which are not regulated entirely by market mechanisms},
year = {2014}
}
TY - JOUR T1 - Applications of Statistical Physics Distributions to Several Types of Income AU - Elvis Oltean AU - Fedor V. Kusmartsev Y1 - 2014/04/20 PY - 2014 N1 - https://doi.org/10.11648/j.ajpa.20140202.14 DO - 10.11648/j.ajpa.20140202.14 T2 - American Journal of Physics and Applications JF - American Journal of Physics and Applications JO - American Journal of Physics and Applications SP - 61 EP - 66 PB - Science Publishing Group SN - 2330-4308 UR - https://doi.org/10.11648/j.ajpa.20140202.14 AB - This paper explores several types of income which have not been explored so far by authors who tackled income and wealth distribution using Statistical Physics. The main types of income we plan to analyze are income before redistribution (or gross income), income of retired people (or pensions), and income of active people (mostly wages). The distributions used to analyze income distributions are Fermi-Dirac distribution and polynomial distribution (as this is present in describing the behavior of dynamic systems in certain aspects). The data we utilize for our analysis are from France and the UK. We find that both distributions are robust in describing these varieties of income. The main finding we consider to be the applicability of these distributions to pensions, which are not regulated entirely by market mechanisms VL - 2 IS - 2 ER -
Information
Email: