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A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded

by Sarit Maitra

Springer

Hardback or Cased Book 00201 pages Jun 03, 2025

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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.
Author:
Sarit Maitra
Publisher:
Springer
Publication Date:
Jun 03, 2025
Number of pages:
00201 pages
Binding:
Hardback or Cased Book
ISBN-10:
3031868617
ISBN-13:
9783031868610