Seasonal adjustment using disaggregated short time span data

使用分类的短时间跨度数据进行季节调整

• 批准号: ARC : LP0219322
• 负责人: David Steel
• 金额: $ 6.76万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/seasonal-adjustment-using-span-data/63843
• 关键词: Seasonal; adjustment; using; disaggregated; short

Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there a major changes to existing series, improving the analysis of such series and the decisions based on them.

使用分类的短时间跨度数据进行季节调整。经季节性调整的经济和社会时间序列是政府和企业决策时使用的重要信息。该项目将开发统计方法，使用相对较少时间段的精细分类数据来估计和消除经济和社会时间序列中的季节性因素。当引入新系列或现有系列发生重大变化时，这将能够更好更快地估计季节性因素，从而改进对此类系列的分析以及基于它们的决策。