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中国煤炭消费分布及影响因素分位回归分析

Quantile regression analysis on coal consumption distribution in China and influencing factors
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摘要 为了研究我国煤炭消费分布及影响因素,运用分位回归和普通最小二乘回归方法,对我国煤炭消费的影响因素进行了分析和对比.结果表明:分位回归与OLS存在较大的差异.其中,分位回归提供了各影响因素在不同分位数上对煤炭消费的影响,分位回归在不同分位点的对比可以得出比OLS相对具有价值的结论. In order to study coal consumption distribution in our country and the influencing factors,this paper carries out analysis and comparison of the influencing factors of coal consumption distribution through quantile regression and ordinary least squares.Results show that quantile regression has many differences to OLS.Quantile regression suggests the influence of various factors on coal consumption at different quantiles and comparison at different quantiles of quantile regression leads to more valuable results than OLS.
作者 程平平
出处 《江苏建筑职业技术学院学报》 2015年第1期31-33,共3页 Journal Of Jiangsu Vocational Institute of Architectural Technology
关键词 煤炭消费 影响因素 分位回归 OLS 产业结构 coal consumption influencing factor quantile regression OLS industrial structure
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