A Practical Guide to Static and Dynamic Econometric Modelling : Examples and Analysis with Python Code Embedded
by
Sarit Maitra
Book Details
Format
Paperback / Softback
Book Series
Contributions to Economics
ISBN-10
3031868641
ISBN-13
9783031868641
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 4th, 2026
Print length
201 Pages
Ksh 9,900.00
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0 in stock
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Quality
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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 hypothesis testing, along with advanced topics like the Capital Asset Pricing Model and dynamic modeling techniques.
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.
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