%0 Journal Article
%T 基于多元回归分析我国就业人数及质量的研究
Research on the Number and Quality of Employment in China Based on Multiple Regression Analysis
%A 李羿飞
%J Statistics and Applications
%P 110-122
%@ 2325-226X
%D 2025
%I Hans Publishing
%R 10.12677/sa.2025.145130
%X 高校毕业生屡创新高，就业问题一直被国家政府格外关注。本文选取了1998年~2023年的数据构建经济学模型，并对我国就业人数的主要影响因素进行多元回归分析，运用软件Eviews12进行分析，选取全国总人口数、国内生产总值、居民消费水平、居民平均工资水平、财政支出及是否有虚拟变量新冠疫情等数据来解读我国就业人数。本文通过多元回归分析发现，全国人口总数与就业人数显著正相关，居民平均薪资水平与就业人数显著负相关，居民平均消费水平对就业人数具有正向促进作用，而疫情对就业人数具有显著负面影响。
College graduates have repeatedly reached new highs, and the issue of employment has always been of particular concern to the national government. This paper selects the data from 1998 to 2023 to build an economic model, and conducts a multiple regression analysis on the main influencing factors of China’s employment, uses the software Eviews12 to analyze, and selects the total population, gross domestic product, residents’ consumption level, average residents’ wage level, fiscal expenditure and whether there is a dummy variable COVID-19 to interpret China’s employment. Through multiple regression analysis, this paper finds that the total population of the country is significantly positively correlated with the number of employed people, the average salary level of residents is significantly negatively correlated with the number of employed people, the average consumption level of residents has a positive role in promoting the number of employed people, and the epidemic has a significant negative impact on the number of employed people.
%K 多元线性回归，
%K 就业人数，
%K 政策建议，
%K 新冠疫情
Multiple Linear Regression
%K Number of Employed People
%K Policy Recommendations
%K COVID-19 Epidemic
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=115000