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.
| ISBN: | 9783031868641 |
| Publication date: | 4th June 2026 |
| Author: | Sarit Maitra |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| Pagination: | 201 pages |
| Series: | Contributions to Economics |
| Genres: |
Econometrics and economic statistics Corporate finance Probability and statistics Economic theory and philosophy Economics, Finance, Business and Management |
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.
A Practical Guide to Static and Dynamic Econometric Modelling features in the following genres: Econometrics and economic statistics, Corporate finance, Probability and statistics, Economic theory and philosophy, Economics, Finance, Business and Management
Paperback. £49.49, down from the £54.99 cover price. Not Available.
A Practical Guide to Static and Dynamic Econometric Modelling was written by Sarit Maitra and published by Springer an imprint of Springer Nature Switzerland
A Practical Guide to Static and Dynamic Econometric Modelling has 201 pages
Yes it is part of Contributions to Economics series
£49.49, reduced from £54.99. Not Available.