摘要
运用随机效应条件密度模型对面板数据进行分析,并讨论了此模型的变量选择.基于此模型分析了我国1999—2015年省际面板数据,探究城镇居民消费支出的影响因素.结果表明:人均可支配收入和GDP对于城镇居民消费支出有显著影响,并且具有正的影响效应.
The random effect conditional density model was used to analyze the panel data,and the variable selection of this model was discussed.Based on this model,the inter-provincial panel data of China from 1999 to 2015 was analyzed to explore the influencing factors of consumption expenditure of urban residents.The results show that Per capita disposable income and GDP has a significant impact on consumption expenditure of urban residents and has a positive impact effect.
作者
袁晓惠
王岳
李会贤
YUAN Xiao-hui;WANG Yue;LI Hui-xian(School of Mathematics and Statistics,Changchun University of Technology,Changchun 130012,China)
出处
《吉林师范大学学报(自然科学版)》
2019年第1期49-54,共6页
Journal of Jilin Normal University:Natural Science Edition
基金
国家自然科学基金项目(11671054
11571051
11701043)
关键词
面板数据
随机效应条件密度模型
BIC
城镇居民消费
panel data
random effect conditional density model
BIC
consumption of urban residents