"This innovative textbook develops students' understanding of empirical research in corporate finance, enabling them to apply econometric methods to their own research. Features include lab work and mini case studies. Code is provided in Stata, Python and R, so students can develop their programming skills"--
Inhaltsverzeichnis
1. Introduction; 2. The nature of sampling, non-parametric analysis, and hypothesis testing; 3. Basic data analysis in Stata; 4. Survey data analysis; 5. Classical linear regression model; 6. Endogeneity bias; 7. Time series analysis; 8. Event studies; 9. Panel data analysis; 10. Selection of models with limited dependent variables; 11. Writing empirical papers in corporate finance; 12. Future directions: Machine learning methods.