摘要
本文根据上海市1980-2007年之间的历史数据,采用多元线性逐步回归方法,构建人口机械增长率、劳保福利费用比例、全市居民消费水平指数、食品在社会消费品零售总额中的比重等自变量与因变量商业保险密度之间的数学模型,并对模型进行统计分析。
The paper selects the data of Shanghai from 1980 to 2007,adopts multiple linear regression method,and uses SPSS to establish mathematical models with the mechanical population growth,the proportion of labor insurance and welfare costs in total wages,the city's consumption level index,the proportion of food in the total retail sales as independent variables,and with Shanghai's commercial insurance density as dependent variable.In the end,this paper conducts statistical study on these models.
出处
《上海金融》
CSSCI
北大核心
2010年第10期117-119,共3页
Shanghai Finance
关键词
商业保险
保险密度
影响因素
实证研究
Commercial Insurance
Insurance Density
Influencing Factors
Empirical Study