摘要
统计数据质量重要性催生出各国用于数据质量评估的框架、系统I,MF制定的数据质量评估框架因其结构完整性和较强归纳性受到成员国的广泛采用。文章通过运用信息熵理论对数据质量评估框架(DQAF)本身的维度、指标信息量问题进行研究,研究结果显示:DQAF各维度、指标在账户内部以及不同账户间体现的信息量不同;统计数据账户的生产主体和账户数据类型对于数据质量具有明显的影响作用。基于上述结论,作者提出对DQAF框架的改进设想。
The importance of statistical data quality brings out many kinds of frameworks or systems used to evaluate data quality;DQAF,designed by IMF,becomes popular because of its structural integrality and high inductivity.We conduct a study of the information content of dimensions and indicators of DQAF by applying information entropy theory.It is found that each dimension and indicator of DQAF contain unequal information both within different account and among accounts,and the producers of statistical account as well as the data type of account have a significant effect on the data quality.Base on the above conclusion,we bring forward some suggestions on improving DQAF.
出处
《商业经济与管理》
CSSCI
北大核心
2011年第9期81-89,共9页
Journal of Business Economics
基金
教育部人文社会科学重点研究基地项目(10JD790036)
