Ch. 21 Univariate Unit Root process 1 Introduction Consider OLS estimation of a AR(1)process, Yt= pYt-1+ut where ut w ii d (0, 0), and Yo=0. The OLS estimator of p is given by and we also have
3.1 Sampling distribution of OLS estimator 3.2 The t Test 3.3 Confidence Intervals 3.4 Testing a single Linear Combination 3.5 Testing Multiple Linear Restrictions 3.6 About multicollinearity 3.7 Interpreting and Reporting regression results
2.1 Motivation for multiple regression 2.2 Mechanics and interpretation of OLS 2.3 Unbiasedness of OLS estimator 2.4 Variance of the OLS Estimators 2.5 Efficiency of OLS: Gauss-Markov theorem