Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

Practical Application of the Models for Rectifying Selection Bias

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326849,
        author={Xiaohong  Yu and Maonan  Chen},
        title={Practical Application of the Models for Rectifying Selection Bias},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={native place of chairman; company innovation; selection bias; endogenous switching regression model},
        doi={10.4108/eai.18-11-2022.2326849}
    }
    
  • Xiaohong Yu
    Maonan Chen
    Year: 2023
    Practical Application of the Models for Rectifying Selection Bias
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326849
Xiaohong Yu1, Maonan Chen1,*
  • 1: Harbin Institute of Technology (Shenzhen) School of Economics and Management Shenzhen, China
*Contact email: tai70743060@163.com

Abstract

A sample of the annual data for A-share listed companies in China between 2010 and 2018 were used in this paper to explore the relationship between the native place of the chairman and company innovation with using multiple models for the solution of selection bias. The results of multiple models all led to the following consistent conclusion: When the chairman's native place was the same as the place of incorporation of the company, the company innovation capabilities as measured with indicators, such as patent numbers, R&D personnel numbers and R&D investment proportions, were all impaired. The results were consistent with multiple models that included the treatment effects model and the endogenous switching regression model. The same conclusions hold after further analyses of the subsequent treatment effects on the experimental group and the control group.