Econometrics. Lecture 5. Inference in a Linear Regression with One Regressor

In this lecture we apply the techniques of statistical inference to the linear regression model. Additionally, the assumptions of homoskedasticity and heteroskedasticity and their consequences are discussed 00:00 Introduction 05:57 Homoskedasticity and heteroskedasticity 12:53 Heteroskedasticity-robust estimation of the OLS estimators variance 20:32 Homoskedasticity-only estimation of the OLS estimators variance 22:58 Standard errors 24:59 Python regression results output 30:40 Comparison of homoskedastic and robust standard errors 32:30 Testing hypotheses about regression coefficients 1:00:33 Confidence intervals for regression coefficients 1:16:14 Practical remarks 1:25:15 Conclusion The course “Econometrics“ for the 2nd year bachelors in Economics Taught at BRICS institute, Irkutsk National Research Technical University, Spring semester 2022