Time Series Econometrics / Springer Texts in Business and Economics (PDF)

Name: Time Series Econometrics / Springer Texts in Business and Economics
Brand: Springer-Verlag GmbH
SKU: 111069299
Price: 153.50 CHF
Availability: OnlineOnly

Learning Through Replication (Sprache: Englisch)

Autor: John D. Levendis

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Time Series Econometrics / Springer Texts in Business and Economics, John D. Levendis

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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...

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This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system. Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger and Newbold, and Nelson and Plosser. Readers will learn about structural breaks by replicating papers by Perron, and Zivot and Andrews. They then turn to models of conditional volatility, replicating papers by Bollerslev. Finally, students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger.

The book contains many worked-out examples, and many data-driven exercises. While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful.

Autoren-Porträt von John D. Levendis

John Levendis is an Associate Professor of Economics at Loyola University New Orleans, and is the Dr. John V. Connor Professor of Economics and Finance. Professor Levendis earned his Ph.D. in Economics from the University of Iowa. He has taught at Cornell College, the Economics University of Prague, the University of Iowa, and Southeastern Louisiana University.

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Bibliographische Angaben

Autor: John D. Levendis
2019, 1st ed. 2018, 409 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3319982826
ISBN-13: 9783319982823
Erscheinungsdatum: 31.01.2019

Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: PDF
Grösse: 9.46 MB
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Englisch

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