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Research on the Application of Econometrics Based on Big Data Analysis in the Analysis of Urban Unemployment Rate

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DOI: 10.23977/ieesasm.2019.289

Author(s)

Yingji Cui

Corresponding Author

Yingji Cui

ABSTRACT

Influenced by Institutional Factors, China's Unemployment Rate Statistics Still Have Many Imperfections and Cannot Fully and Accurately Reflect the Real Employment Situation in China. If the Reverse Effect of the Large Increase in the Number of Migrant Workers in China on the Registered Unemployment Rate in China's Cities and Towns is Not Considered, the Main Factors That Affect the Increase in the Registered Unemployment Rate in China's Cities and Towns Are the Increase in the Organic Composition of China's Capital and the Increase in the Number of Working-Age Population in China.the Unemployment Certificate Data Lagging 4 Periods, the Labor Market Data Lagging 3 Periods, the Personnel Department Data Lagging 2 Periods, the Unemployment Insurance Data Lagging 1 Period, and the Current Job Search and Unemployment Rate Data Are Used as Explanatory Variables for Predicting the Unemployment Rate. in the Process of Designing an Oa System for an Institute, Combining with the Confidential Nature of the Institute, an Improved Rbac Model Was Designed, Which Inherited the Original Role-Based Authorization of the Rbac Model.

KEYWORDS

Big Data Analysis, Econometrics, Urban Unemployment Rate

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