关键词: 微观实物量, 价值量推算, 变量选择, 结构选择, 结构方程模型

Abstract: The relationship between physical magnitude and value magnitude is the core in System of National Account（SNA）. Value magnitude estimation is an important problem in the research of government data quality. This paper proposes a learning method for magnitude of value based on micro-physical quantity data. It mainly concerns about enterprise micro level data, which achieves value magnitude learning based on micro-physical quantity combining variable selection algorithm, structure selection model and Structure Equation Model（SEM）. With real survey on lodging industry, it evaluates the effect of SEM with different variable selection and different hybrid tree structure selection. The results demonstrate that the proposed learning system can compact structure and avoid design risk, and can better refine the main statistical dependencies of value magnitude for the physical quantity.

Key words: physical quantity, value magnitude learning, variable selection, structure selection, Structure Equation Model（SEM）