An econophysical approach of polynomial distribution applied to income and expenditure

E. Oltean
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引用次数: 8

Abstract

Polynomial distribution can be applied to dynamical systems in certain situations. Macroeconomic systems characterized by economic variables such as income and wealth can be modelled similarly using polynomials. We extend our previous work to data regarding income from a more diversified pool of countries, which contains developed countries with high income, developed countries with middle income, developing and underdeveloped countries. Also, for the first time we look at the applicability of polynomial distribution to expenditure (consumption). Using cumulative distribution function, we found that polynomials are applicable with a high degree of success to the distribution of income to all countries considered without significant differences. Moreover, expenditure data can be fitted very well by this polynomial distribution. We considered a distribution to be robust if the values for coefficient of determination are higher than 90%. Using this criterion, we decided the degree for the polynomials used in our analysis by trying to minimize the number of coefficients, respectively first or second degree. Lastly, we look at possible correlation between the values from coefficient of determination and Gini coefficient for disposable income.
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将多项式分布的经济物理学方法应用于收入和支出
多项式分布可以应用于某些情况下的动力系统。以收入和财富等经济变量为特征的宏观经济系统可以用多项式类似地建模。我们将以前的工作扩展到来自更多样化的国家的收入数据,其中包括高收入的发达国家、中等收入的发达国家、发展中国家和不发达国家。此外,我们第一次看到多项式分布对支出(消费)的适用性。使用累积分布函数,我们发现多项式在没有显著差异的情况下适用于所有国家的收入分配,并且成功程度很高。此外,这种多项式分布可以很好地拟合支出数据。如果决定系数的值高于90%,我们认为一个分布是稳健的。使用这个标准,我们通过尝试最小化系数的数量来决定我们分析中使用的多项式的程度,分别是第一次或第二次。最后,我们研究了可支配收入的决定系数和基尼系数之间可能存在的相关性。
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