经济面板数据缺失值插补的算法设计与R语言程序包“linput”开发  

Algorithm Design of Missing Value Interpolation for Economic Panel Data and R Language Package“Linput”Development

作　　者：杜云晗 Du Yunhan(Sichuan Institute of Human Resources and Social Security Science,Chengdu,Sichuan 610015,China)

机构地区：[1]四川省人力资源和社会保障科学研究所,四川成都610015

出　　处：《湖北工程学院学报》2023年第4期65-71,共7页Journal of Hubei Engineering University

基　　金：国家社会科学基金项目(18XJL006)。

摘　　要：利用年均增长率估算的基本原理,开发出了一种处理经济面板数据缺失值的R语言程序包“linput”。“linput”包能够自动扩充个体缺失的面板数据,同时提供了内插法和外推法两种缺失值处理选择,新生成的向量将自动加入临时数据集作为新的一列,实际操作中可直接基于临时数据集进行数据的统计分析与描述。“linput”包有利于通过简单快速的算法为研究人员生成各类平衡面板数据集,从而避免了统计分析中因缺失值问题产生的样本容量过少等问题。Based on the basic principle of average annual growth rate estimation,a R language program package“linput”is developed to deal with the missing values of economic panel data.The“linput”package can automatically expand the panel data of individual missing and provide two missing value processing options:interpolation and extrapolation.The newly generated vector will be automatically added to the temporary data set as a new column,and the statistical analysis and description of data can be directly based on the temporary data set in actual operation.The“linput”package facilitates the generation of various balanced panel datasets for researchers through simple and fast algorithms,thus avoiding problems such as small sample sizes due to missing values in statistical analysis.

关 键 词：缺失值 年均增长率 平衡面板数据 

分 类 号：F064.1[经济管理—政治经济学]