We extend the exploration regarding dynamic approach of macroeconomic variables by tackling systematically expenditure using Statistical Physics models (for the first time to the best of our knowledge). Also, using polynomial distribution which characterizes the behavior of dynamic systems in certain situations, we extend also our analysis to mean income data from the UK that span for a time interval of 35 years. We find that most of the values for coefficient of determination obtained from fitting the data from consecutive years analysis to be above 80%. We used for our analysis first degree polynomial, but higher degree polynomials and longer time intervals between the years considered can dramatically increase goodness of the fit. As this methodology was applied successfully to income and wealth, we can conclude that macroeconomic systems can be treated similarly to dynamic systems from Physics. Subsequently, the analysis could be extended to other macroeconomic indicators.
Published in | American Journal of Physics and Applications (Volume 2, Issue 3) |
DOI | 10.11648/j.ajpa.20140203.11 |
Page(s) | 73-77 |
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), 2014. Published by Science Publishing Group |
Dynamic Systems, Polynomial Distribution, Lower Limit on Expenditure, Gross Expenditure, Disposable Expenditure
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APA Style
Elvis Oltean, Fedor V. Kusmartsev. (2014). An Econophysical Dynamic Approach of Expenditure and Income Distribution in the UK. American Journal of Physics and Applications, 2(3), 73-77. https://doi.org/10.11648/j.ajpa.20140203.11
ACS Style
Elvis Oltean; Fedor V. Kusmartsev. An Econophysical Dynamic Approach of Expenditure and Income Distribution in the UK. Am. J. Phys. Appl. 2014, 2(3), 73-77. doi: 10.11648/j.ajpa.20140203.11
AMA Style
Elvis Oltean, Fedor V. Kusmartsev. An Econophysical Dynamic Approach of Expenditure and Income Distribution in the UK. Am J Phys Appl. 2014;2(3):73-77. doi: 10.11648/j.ajpa.20140203.11
@article{10.11648/j.ajpa.20140203.11, author = {Elvis Oltean and Fedor V. Kusmartsev}, title = {An Econophysical Dynamic Approach of Expenditure and Income Distribution in the UK}, journal = {American Journal of Physics and Applications}, volume = {2}, number = {3}, pages = {73-77}, doi = {10.11648/j.ajpa.20140203.11}, url = {https://doi.org/10.11648/j.ajpa.20140203.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20140203.11}, abstract = {We extend the exploration regarding dynamic approach of macroeconomic variables by tackling systematically expenditure using Statistical Physics models (for the first time to the best of our knowledge). Also, using polynomial distribution which characterizes the behavior of dynamic systems in certain situations, we extend also our analysis to mean income data from the UK that span for a time interval of 35 years. We find that most of the values for coefficient of determination obtained from fitting the data from consecutive years analysis to be above 80%. We used for our analysis first degree polynomial, but higher degree polynomials and longer time intervals between the years considered can dramatically increase goodness of the fit. As this methodology was applied successfully to income and wealth, we can conclude that macroeconomic systems can be treated similarly to dynamic systems from Physics. Subsequently, the analysis could be extended to other macroeconomic indicators.}, year = {2014} }
TY - JOUR T1 - An Econophysical Dynamic Approach of Expenditure and Income Distribution in the UK AU - Elvis Oltean AU - Fedor V. Kusmartsev Y1 - 2014/05/20 PY - 2014 N1 - https://doi.org/10.11648/j.ajpa.20140203.11 DO - 10.11648/j.ajpa.20140203.11 T2 - American Journal of Physics and Applications JF - American Journal of Physics and Applications JO - American Journal of Physics and Applications SP - 73 EP - 77 PB - Science Publishing Group SN - 2330-4308 UR - https://doi.org/10.11648/j.ajpa.20140203.11 AB - We extend the exploration regarding dynamic approach of macroeconomic variables by tackling systematically expenditure using Statistical Physics models (for the first time to the best of our knowledge). Also, using polynomial distribution which characterizes the behavior of dynamic systems in certain situations, we extend also our analysis to mean income data from the UK that span for a time interval of 35 years. We find that most of the values for coefficient of determination obtained from fitting the data from consecutive years analysis to be above 80%. We used for our analysis first degree polynomial, but higher degree polynomials and longer time intervals between the years considered can dramatically increase goodness of the fit. As this methodology was applied successfully to income and wealth, we can conclude that macroeconomic systems can be treated similarly to dynamic systems from Physics. Subsequently, the analysis could be extended to other macroeconomic indicators. VL - 2 IS - 3 ER -