【摘要】 不同区域、不同子类商品之间往往存在较严重的通货膨胀持续性结构特征问题,在中央银行制定货币政策时是其重要的考虑因素之一。由于传统面板数据单位根检验无法克服数据之间固有的异质性和截面相关性问题从而导致检验功效偏低。本文使用面板数据SURADF方法,在中国不同类别商品通货膨胀存在相关性和数据异质性的前提之下,分全国、城市和农村分别对8大类商品通货膨胀持续性结构特征问题进行实证研究。结果表明:不同地区、不同大类商品之间通货膨胀持续性存在显著差异,与传统检验方法相比,SURADF方法能够更加准确表现出不同大类商品间通货膨胀持续性的结构特征,并由此提出建议:央行应根据不同地区、不同种类商品间不同的通货膨胀持续性结构特征而制定出更加具有差异化的货币调控政策。更多还原

【Abstract】 When the People’s Bank of China formulates monetary policy,the issue of the structural characteristics of the persistence of domestic inflation is one of its important considerations. The traditional univariate unit root test method is often due to the inherent heterogeneity between panel data and The cross-section correlation problem results in unsatisfactory inspection results. Under the premise of the correlation and data heterogeneity of different types of commodity inflation in China,the structural characteristics of the sustainability of the eight major categories of commodity inflation are divided into three regions:National,urban,and rural. Empirical research. The results show as follows. There are significant differences in the persistence of inflation between different regions and between different categories of commodities. It can be seen from the comparison that the SURADF method is more accurate and more accurate than the traditional inspection method to show the persistence of inflation among different categories of commodities Sexual structural characteristics. It also proposes that the central bank should formulate more differentiated monetary control policies based on the different persistent structural characteristics of inflation in different regions and different types of commodities.更多还原