Time Series Econometrics Learning Through Replication /
In this book, the authors reject the theorem-proof approach as much as possible, and emphasize the practical application of econometrics. They show with examples how to calculate and interpret the numerical results. This book begins with students estimating simple univariate models, in a step by ste...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Springer Texts in Business and Economics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1: Introduction
- Chapter 2: ARMA (p,q) Processes
- Chapter 3: Non-Stationary and ARIMA (p,d,q) Processes
- Chapter 4: Unit Root and Stationarity Tests
- Chapter 5: Structural Breaks and Non-Stationairty
- Chapter 6: ARCH, GARCH and Time-Varying Variance
- Chapter 7: Multiple Time Series and Vector Autoregressions
- Chapter 8: Multiple Time Series and Cointegration.