A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded
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Covers both static and dynamic econometric modeling techniques for a complete understanding
Includes Python code embedded in each section for immediate practical application
Explains key econometric concepts from data collection to prediction for a thorough learning experience
Advanced topics such as the Capital Asset Pricing Model and dynamic modeling techniques are discussed
bridges theory and practice, making it essential for students, professionals, and data scientists
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Format: Hardback Length: 201 pages Publication date: 03 June 2025 Publisher: Springer International Publishing AG
mso-ansi-language: EN-US;">This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. Readers will explore linear regression, data transformations, and hypothe