Synopsis
Preface Introduction to Random Walks and Brownian Motion Why Distinguish Between Trend Stationary and Difference Stationary Processes? An Introduction to ARMA Models Bias and Bias Reduction in AR Models Confidence Intervals in AR Models Dickey-Fuller and Related Tests Improving the Power of Unit Root Tests Bootstrap Unit Root Tests Lag Selection and Multiple Tests Testing for Two (or More) Unit Roots Tests with Stationarity As the Hypothesis Combining Tests and Constructing Confidence Intervals Unit Root Tests for Seasonal Data Appendix 1: Random Variables Appendix 2: The Lag Operator and Lag Polynomials References Author Index Subject Index
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