Lehrinhalte
multivariate random numbers (expectation, covariance matrix, transformations), multiple linear regression model, assumptions, ordinary least-squares estimation (OLS), properties of the estimator, hypothesis tests, model specification and specification testing with empirical applications, outlier diagnosis, testing for structural breaks, multicollinearity, generalized least-squares estimation (GLS), heteroskedasticity and autocorrelation
multivariate random numbers (expectation, covariance matrix, transformations), multiple linear regression model, assumptions, ordinary least-squares estimation (OLS), properties of the estimator, hypothesis tests, model specification and specification testing with empirical applications, outlier diagnosis, testing for structural breaks, multicollinearity, generalized least-squares estimation (GLS), heteroskedasticity and autocorrelation
- Lehrende: Seulki Chung
- Lehrende: Jens Krüger
- Lehrende: Moritz Tarach
Semester: ST 2021