摘要
本文应用方向数据统计方法分析1998~2005年货运量、居民消费价格总指数、社会消费品零售总额、出口总额和进口总额以及1999~2005年工业增加值等指标的月度数据。通过均匀性检验和Von-Mises分布检验确定分布类型,分析不同分布类型下经济指标的波动特征,从理论上探讨季节波动的成因。指出有良性规律的季节波动是实现既稳定又较快经济增长的保证。
By applying the methods of Directional Data Statistics, this paper analyzes monthly data of Added Value of Industrial Output ranging from 1999 2004 and Total Amount of Freight, Retail Price, Total Amount of Social Consume, Total Amount of Export, Total Amount of Import and Resident Consumption Price Index ranging from 1998-2004. Distribution types are ascertained by using uniformity test and Von Mises distribution test, fluctuation features of different types of economic indexes are analyzed, and the causes of seasonal fluctuation are discussed theoretically. It points out that seasonal fluctuation having virtuous law is the guarantee to realize steady and fast economic growth.
出处
《数量经济技术经济研究》
CSSCI
北大核心
2006年第12期64-72,共9页
Journal of Quantitative & Technological Economics
基金
国家社会科学基金重大项目<社会主义市场经济中经济周期基本理论和实践研究>(04&ZD009)
国家社会科学基金项目<方向数据统计在经济管理中的应用>(05CTJ003)的研究内容之一。
关键词
季节波动
国民经济指标
方向数据统计
假设检验
Seasonal Fluctuation
National Economic Indexes
Directional Data Statistics
Hypothesis Test