探索性数据分析在我国人均可支配收入研究中的应用  

The Application of EDA in the Studies of China's Per Capita Disposable Income

作　　者：李杨[1] 安瑞娟[1] 

机构地区：[1]哈尔滨商业大学,黑龙江哈尔滨150028

出　　处：《商业经济》2012年第17期21-23,共3页Business & Economy

基　　金：2011年度黑龙江省研究生创新科研项目:企业战略性薪酬体系研究的阶段性成果(YJSCX2011-172HSD)

摘　　要：人均可支配收入这个指标,经常被用来考察区域经济发展中居民生活水平状况,并从居民生活水平来考察经济发展水平。由于区域性经济发展水平的差异性和不平衡性,人均可支配收入在数值分析中易受到离群值和异常值的影响,采用传统证实性分析的数据处理方法往往难以将各地的数据特征有效分离。为减少异常值的影响得到较为满意的数据处理结果,可以采用探索性数据分析法(EDA)对各区域的人均可支配收入数据进行处理,其优点是重视数据的总体特征对数据的局部不良行为不敏感,可以更清楚的认识到各地区经济发展的差异,从而实现更好的了解和把握国家或地区的宏观经济运行状况这一目的,从而为政策的制定提供一定的参考依据。Per capita disposable income is the index often used to examine the regional residents＇ living standard in a certain period of economic development, and the living standard could be used to reveal the level of economic development. Due to the differences and the imbalances of regional economic development, the per capita disposable income is inclined to be influenced by the outlier and abnormal values in the numerical analysis, thus, the traditional data processing method of confirmatory analysis usually has difficulties in the effective separation of the local data features. In order to reduce the influence of abnormal values and get more satisfactory data processing results, we can process the per capita disposable income data of each region with Exploratory Data Analysis （EDA）, which pays attention to the general characteristics of the data and is insensitive to the partial bad behaviors of the data. In this case, the differences of regional eeo-- nomie development and the macro-economy operation conditions at state or regional levels could be better understood, which will provide reference for oolicv-making.

关 键 词：EDA分析法 人均可支配收入 数据变换 结论 

分 类 号：F360[经济管理—产业经济]