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Introduction to panel data, multiple regression method, and principal components analysis using stata: study on the determinants of executive Compensation—A behavioral approach using evidence from Chinese listed firms
journal contribution
posted on 2023-06-09, 19:47 authored by Ya Gao, Marc CowlingThis case study illustrates a quantitative research study on accounting and finance using panel data from firm databases. Our research argues for the existence of a reference point effect on executive compensation determination, internally (the pay of other directors on board), externally (the industry peer executives’ average pay), and historically (the executive’s pay in the last period), in Chinese listed firms. We illustrate (1) the research process of variable design, including the design and understanding of dependent variables, independent variables, and control variables, as well as the relevant hypotheses development and multiple regression models using firm data and the panel data context; (2) the process of data collection using secondary data from financial database and the construction of a panel dataset; (3) the commands in Stata to run the ordinary least squares multiple regression; and (4) the principal components analysis capturing the systematic effect of the three reference points and perform the principal components analysis in Stata.
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Publication status
- Published
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- Published version
Journal
Sage Research Methods CasesPublisher
SAGE PublicationsExternal DOI
Page range
1-27Department affiliated with
- Accounting and Finance Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2019-11-28First Compliant Deposit (FCD) Date
2019-11-27Usage metrics
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