本文選題：經(jīng)濟物理學　切入點：累積分布函數(shù)　出處：《統(tǒng)計與信息論壇》2016年02期

【摘要】：基于國家統(tǒng)計局1995 2012年個人人均年收入數(shù)據(jù),運用數(shù)據(jù)擬合方法,研究國內(nèi)絕大多數(shù)個人人均年收入的累積分布函數(shù)和概率密度函數(shù)從1995—2012年的演化過程,結(jié)果顯示:累積分布函數(shù)為C(x)=Ae-(x-μ)2/2σ2,遵循高斯分布;概率密度函數(shù)為P(x)=B(x-μ)e-(x-μ)2/2σ2,概率密度函數(shù)圖像的寬度隨著時間的推移從1995—2012年逐步變寬,是(x-μ)因子推動概率密度函數(shù)P(x)中的e-(x-μ)2/2σ2部分,在使圖像逐步變寬的同時右方出現(xiàn)了一個逐年加長的類似指數(shù)函數(shù)的長尾,這種圖像提示從1995—2012年極少數(shù)人獲取了極大數(shù)量的個人收入;進一步利用個人人均年收入的概率密度函數(shù)P(x)計算相應(yīng)的Gini系數(shù)在這一時期的演化后發(fā)現(xiàn),當今中國收入不公平性已很嚴重,各級相關(guān)部門應(yīng)當從政策改革和福利分配方面有所重視。
[Abstract]:Based on the data of personal per capita income from 1995 to 2012 in the National Bureau of Statistics, this paper studies the evolution process of the cumulative distribution function and probability density function of the per capita income of the vast majority of individuals in China from 1995 to 2012 by using the data fitting method. The results show that the cumulative distribution function is 2 蟽 2, following Gao Si distribution, and the probability density function is 2 蟽 2. The width of the probability density function image gradually widens with time from 1995 to 2012. It is a part of e-mx- 渭 n / 2 蟽 2 蟽 2 in the probability density function (PX). While the image is gradually widened, a long tail of a similar exponential function is appearing on the right side, which indicates that a very small number of people obtained a great amount of personal income from 1995 to 2012; Further calculating the corresponding Gini coefficient by using the probability density function (PX) of per capita income in this period, it is found that the income inequality in China is very serious. Relevant departments at all levels should attach importance to policy reform and welfare distribution.
【作者單位】： 西安財經(jīng)學院信息學院;西安財經(jīng)學院商學院;
【基金】：陜西省教育廳科研計劃項目《基于經(jīng)濟物理學對社會不公平性的經(jīng)濟學參數(shù)的研究》(14JK1275)
【分類號】：F124.7;F224
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本文編號：1679964