A Statistical Physics Analysis of Expenditure in the UK
American Journal of Modern Physics
Volume 3, Issue 3, May 2014, Pages: 133-137
Received: Apr. 17, 2014;
Accepted: May 8, 2014;
Published: May 20, 2014
Views 2962 Downloads 91
Elvis Oltean, Department of Physics, Loughborough University, Loughborough, UK
Fedor V. Kusmartsev, Department of Physics, Loughborough University, Loughborough, UK
Follow on us
Most papers which explored so far macroeconomic variables took into account income and wealth. Equally important as the previous macroeconomic variables is the expenditure or consumption, which shows the amount of goods and services that a person or a household purchased. Using statistical distributions from Physics, such as Fermi-Dirac and polynomial distributions, we try to fit the data regarding the expenditure distribution divided in deciles of population according to their income (gross and disposable expenditure are taken into account). Using coefficient of determination as theoretical tool in order to assess the degree of success for these distributions, we find that both distributions are really robust in describing the expenditure distribution, regardless the data set or the methodology used to calculate the expenditure values for the deciles of income. This is the first paper to our knowledge which tackles expenditure, especially using a method to describe expenditure such as lower limit on expenditure. This is also relevant since it allows the approach of macroeconomic systems using more variables characterizing their activity, can help in the investigation of living standards and inequality, and points to more theoretical explorations which can be very useful for the Economics and business practice.
Gross Expenditure, Disposable Expenditure, Lower Limit on Expenditure, Mean Expenditure, Fermi-Dirac Distribution, Polynomial Distribution
To cite this article
Fedor V. Kusmartsev,
A Statistical Physics Analysis of Expenditure in the UK, American Journal of Modern Physics.
Vol. 3, No. 3,
2014, pp. 133-137.
A. Dragulescu, V. M. Yakovenko, “Statistical Mechanics of Money, Income, and Wealth: A Short Survey”, http://www2.physics.umd.edu/~yakovenk/econophysics.html
A. Dragulescu, V.M. Yakovenko, “Statistical mechanics of money”, Eur. Phys. J. B 17, 723-729 (2000).
A.Dragulescu, V.M. Yakovenko, “Evidence for the exponential distribution of in-come in the USA”, Eur. Phys. J. B 20, 585-589 (2001)
A. C. Silva, V. M. Yakovenko, “Tem-poral evolution of the “thermal” and “superthermal” income classes in the USA during 1983–2001”, Europhys. Lett., 69 (2), pp. 304–310 (2005)
K. E. Kurten and F. V. Kusmart-sev,“Bose-Einstein distribution of money in a free-market economy”. Physics Letter A Journal, EPL, 93 (2011) 28003
F. V. Kusmartsev,“Statistical mechanics of economics”, Physics Letters A 375 (2011) 966–973
E. Oltean, F.V. Kusmartsev,“A study of methods from statistical me-chanics applied to income distribution”, ENEC, 2012, Bucharest, Romania
E. Oltean,F.V. Kusmartsev,“A polynomial distribution applied to income and wealth distribution”, Journal of Knowledge Management, Economics, and Information Technology, 2013, Bucharest, Roma-nia
Upper limit on income by decile group in 1987–2009 in Finland, URL: http://www.stat.fi/til/tjt/2009/tjt_2009_2011-0520_tau_005_en.html
Elvis Oltean, “An Econophysical Approach of Polynomial Distribution Applied to Income and Expenditure”, American Journal of Modern Physics. Vol. 3, No. 2, 2014, pp. 88-92. doi: 10.11648/j.ajmp.20140302.18