Static Quality Of Macroeconomic Statistics

The statistical data is the basic information of social and economic development of acountry or region, which is the important basis for departments to analysis nationaleconomic situation correctly and formula effective policies. At the same time, accurateand adequate statistical information is the foundation of making statistical decision andscientific research. China’s economy is in a sustained period of rapid growth, along withthe sustained growth, the relevant economic data of China has also been questioned bymany experts and scholars. Therefore, to make a scientific test of the quality of statisticaldata, has important practical significance and application value.The paper mainly consists of five parts. First of all, the analysis with the backgroundshowed the the authenticity of the statistical data played a key role in the social sciencesdevelopment and the significance of the establishment of the statistical data qualityinspection system;Summed up the previous inspection methods, and did some qualitativeanalysis on the current situation of the quality of statistical data in our country. Found outsome shortcomings on the existing method of regional macroeconomic statistical datatest. Put forward the main research contents and methods to be discussed. Secondly,introduced the index of regional macro economic, simultaneous equations econometricsmodel and the operating condition of Benford law;Thirdly, combined Simultaneousequations with Benford’s law, and studied the inspection method of regional economicstatistical data quality from the quantitative point. Improved the classical predictivemodel with over-year statistical data, and established the simultaneous equations modelwith indicators of the same year. Estimated and improved the model using SAS with thesection of Chinese statistical data of31provinces during2006-2011of the macroscopiceconomic index; Tested the model established with macro economic data of our countryin2012. Finally, aiming at the actual situation of statistical date put forward feasibleSuggestions for the improvement of regional macroeconomic data quality.