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Multiple Linear Regression Analysis Based on STATA of the Impact of R&D Expenditure on Future Earnings

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Teng Ma
  • Lizhao Dong
  • Yanan Wang

Abstract

By collecting financial big data from the Wind database, this paper takes the panel data of listed companies on the SME Board and GEM Board of Shenzhen Market from 2011 to 2020 as samples, uses the multiple linear regression method to construct a model for empirical analysis, and observes the relationship between multiple linear regression to explore the impact of R&D expenditure on future earnings. The results show that: (1) R&D expenditure positively correlates with future earnings. R&D expenditure has a positive impact on future income level. (2) The correlation between R&D expenditure and future earnings has decreased significantly over time. The impact has weakened with time, which means that the R&D income of listed companies in Shenzhen has shown a downward trend in recent years.

Suggested Citation

  • Teng Ma & Lizhao Dong & Yanan Wang, 2024. "Multiple Linear Regression Analysis Based on STATA of the Impact of R&D Expenditure on Future Earnings," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 46, pages 520-528, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0046
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    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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