A Practical Guide to Static and Dynamic Econometric Modelling
Examples and Analysis with Python Code Embedded
Springer Nature Switzerland
ISBN 978-3-031-86862-7
Standardpreis
Bibliografische Daten
eBook. PDF
2025
XIII, 201 p. 266 illus., 75 illus. in color..
In englischer Sprache
Umfang: 201 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-86862-7
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Contributions to Economics Contributions to Econometrics and Empirical Economics
Produktbeschreibung
This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. It covers key econometric concepts, from data collection and model specification to estimation, inference, and prediction. Readers will explore linear regression, data transformations, and hypothesis testing, along with advanced topics like the Capital Asset Pricing Model and dynamic modeling techniques. With Python code examples, this book bridges theory and practice, making it an essential resource for students, finance professionals, economists, and data scientists seeking to apply econometrics in real-world scenarios.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg, DE
ProductSafety@springernature.com