利用1998—2005年的中国宏观统计数据来计算和检验关系参数。
Chinese macro-statistics data for 1998-2005 was used to calculate and verify the system coefficients.
进而明确宏观统计数据质量评估研究的基本范式，探讨研究中应遵循的一系列操作规则。
Furthermore, a primary research paradigm of data quality assessment has been declared, and a series of operation rules discussed.
本文利用2003和2007年中国居民宏观统计数据，运用ELES模型对中产阶层的需求结构进行实证分析。
This paper, According to the macroeconomic statistics data of Chinese residents in 2003 and 2007, takes an empirical analysis on needing structure of the middle class with the help of ELES model.
为保证报告内容的翔实、准确、可靠及数据之间的可比性，报告对统计数据进行了必要的筛选、分组，并将宏观、微观数据紧密结合。
To ensure accurate reporting of content, accurate, reliable and the comparability between data, report to the statistical data of the necessary screening, grouping, and macro and micro data.
统计部门公布的统计数据，对于国民经济的宏观管理和微观决策具有十分重要的指导意义。
The statistical data published by the statistical department is playing an important role in the macro-control and micro-policy-decision of the national economy.
对于宏观经济统计数据的异常性和波动性进行分析，已成为研究数据质量的最核心内容之一。
The studies on outliers and volatilities have become one of the core contents on macroeconomic data quality.
对于宏观经济统计数据的异常性和波动性进行分析，已成为研究数据质量的最核心内容之一。
The studies on outliers and volatilities have become one of the core contents on macroeconomic data quality.
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