Econometric software - Eviews usage

Author: Yu Junnian
Publisher:
Publish Date: 2006-05-01
Features: EViews is one of the most popular econometrics software in the world today. It offers six major functions: data processing, graphing, statistical analysis, model analysis, forecasting, and simulation. It is easy to learn and use, with simple operations. This book primarily introduces the use of EViews (Econometric Views) software. The book is divided into 19 chapters, covering topics such as basic function introductions, data processing, graphs and tables, calculation of statistics, linear models, nonlinear models, time series models, discrete variable models, as well as some recently developed analytical tools like conditional heteroscedasticity models, Panel Data models, and Vector Autoregression models.
Learning to use EViews is indispensable for professionals in the economic field, especially those in economics, econometrics, and financial econometrics, such as teachers, PhDs, master's students, and undergraduates.
EViews is one of the most popular econometrics software in the world today. It offers six major functions: data processing, graphing, statistical analysis, model analysis, forecasting, and simulation. It is easy to learn and use, with simple operations. This book primarily introduces the use of EViews software. The book is divided into 19 chapters, covering topics such as basic function introductions, data processing, graphs and tables, calculation of statistics, linear models, nonlinear models, time series models, discrete variable models, as well as some recently developed analytical tools like conditional heteroscedasticity models, Panel Data models, and Vector Autoregression models.
This book is based on EViews 3.1. EViews 4.0 and EViews 5.0 were developed on the foundation of EViews 3.1, so in addition to the newly added functions, this book can also serve as a reference for using EViews 4.0 and EViews 5.0 software.
This book will provide a powerful tool for professionals in the economic field to process data and analyze models, contributing to the improvement of econometrics teaching standards and the ability to handle practical problems.