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Time Series Econometrics

John D. Levendis ()
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John D. Levendis: Loyola University New Orleans

in Springer Texts in Business and Economics from Springer

Date: 2023
Edition: 2nd ed. 2023
ISBN: 978-3-031-37310-7
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Chapters in this book:

Ch Chapter 1 Introduction
John D. Levendis
Ch Chapter 10 Vector Autoregressions I: Basics
John D. Levendis
Ch Chapter 11 Vector Autoregressions II: Extensions
John D. Levendis
Ch Chapter 12 Cointegration and VECMs
John D. Levendis
Ch Chapter 13 Static Panel Data Models
John D. Levendis
Ch Chapter 14 Dynamic Panel Data Models
John D. Levendis
Ch Chapter 15 Conclusion
John D. Levendis
Ch Chapter 2 ARMA(p,q) Processes
John D. Levendis
Ch Chapter 3 Model Selection in ARMA(p,q) Processes
John D. Levendis
Ch Chapter 4 Stationarity and Invertibility
John D. Levendis
Ch Chapter 5 Nonstationarity and ARIMA(p,d,q) Processes
John D. Levendis
Ch Chapter 6 Seasonal ARMA(p,q) Processes
John D. Levendis
Ch Chapter 7 Unit Root Tests
John D. Levendis
Ch Chapter 8 Structural Breaks
John D. Levendis
Ch Chapter 9 ARCH, GARCH, and Time-Varying Variance
John D. Levendis

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DOI: 10.1007/978-3-031-37310-7

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