A Practical Guide To Static And Dynamic Econometric Modelling
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A Practical Guide to Static and Dynamic Econometric Modelling
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.
Econometrics: A Practical Guide to Economic Modeling
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-08
Econometrics is the branch of economics that uses statistical methods to analyze economic data. It is a powerful tool that can be used to gain insights into the workings of the economy and to make informed decisions about economic policy. This book provides a comprehensive and accessible introduction to econometrics. It is designed for students, researchers, and practitioners who want to learn how to apply econometric techniques to real-world economic problems. The book begins with a discussion of the foundations of econometrics, including the nature of economic data, the role of economic theory in econometrics, and the assumptions of econometrics. It then introduces the concept of statistical inference and discusses the different types of statistical tests that can be used to test economic hypotheses. The book then moves on to a discussion of the most commonly used econometric models, including simple linear regression, multiple linear regression, time series econometrics, panel data econometrics, and instrumental variables estimation. Each chapter provides a detailed explanation of the model, as well as a discussion of how to estimate and test the model. The book also includes a chapter on applied econometrics, which discusses how econometric techniques can be used to solve real-world economic problems. The chapter provides examples of how econometrics has been used to analyze economic issues such as the impact of government policies, the determinants of economic growth, and the causes of unemployment. Econometrics is a rapidly growing field, and new developments are being made all the time. This book provides a solid foundation in the basics of econometrics, and it will prepare readers to follow the latest developments in the field. Whether you are a student, a researcher, or a practitioner, this book is the perfect resource for learning how to use econometrics to analyze economic data. If you like this book, write a review!
A Practical Guide to Industrial Ecology by Input-Output Analysis
Author: Shinichiro Nakamura
language: en
Publisher: Springer Nature
Release Date: 2023-11-01
This book addresses the growing need for a standard textbook on input-output analysis (IO) within the context of industrial ecology (IE). IE is a discipline dedicated to providing system-wide, quantitative, and science-based solutions for sustainable development challenges, and its global importance has been rapidly increasing. The primary analytical tools of IE are life-cycle assessment (LCA) and material flow analysis (MFA). IO has been widely utilized for LCA since the late 1990s and is increasingly being applied to MFA as well. This trend is being driven by the greater availability and application of global IO data, which now includes an ever-expanding number of countries and regions. Despite the presence of excellent textbooks on IO and IE individually, there is a lack of resources that integrate these two fields. This book seeks to fill that gap by focusing on the practical application of IO to IE, specifically in the context of LCA and MFA. By combining these methodologies, readers can gain valuable insights into sustainable development issues and contribute to more effective solutions in the field of IE.