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

Teng Ma, Lizhao Dong and Yanan Wang

Chapter 46 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 520-528 from World Scientific Publishing Co. Pte. Ltd.

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.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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