Expand the following text to make the content richer And make sure the grammar conforms to academic normsThe main research design of this paper uses OLS regression for testing In order to effectively

The research design of this paper is primarily focused on utilizing Ordinary Least Squares (OLS) regression for testing. However, given the issue of missing variables, this paper has adopted a unique approach to tackle this problem. Drawing inspiration from the method employed by Jin Yu et al. (2018), the sample data has been organized into panel data, and the individual fixed effect model has been utilized for testing. This approach has been chosen as it is known to effectively mitigate the problem of missing variables, thereby ensuring the reliability of the research conclusions.

Furthermore, it is important to note that the correlation between the two tables has remained unchanged throughout the testing process. This finding serves to further strengthen the reliability of the research conclusions presented in this paper. By adopting a rigorous and meticulous approach to testing, this paper has been able to provide valuable insights into the subject matter at hand. It is hoped that these findings will contribute to the existing body of knowledge and pave the way for further research in this field