Econometric Analysis (4th Edition)

Author: William H. Greene
Publisher:
Publication Date: 2001-09-01
Features: This book is comprehensive, covering both traditional econometrics topics such as the classical multiple linear regression model, nonlinear regression models, and panel data models. The content is well-organized, progressing from basic to advanced levels, making it easy for readers to grasp. It is suitable for graduate students or upper-level undergraduates in economics and management majors as a textbook in econometrics. The book can also serve as a reference for economics and management faculty and researchers. It is widely adopted by many renowned universities in the United States as an econometrics textbook.
One of its key features is its comprehensiveness, including both traditional econometrics topics such as the classical multiple linear regression model, nonlinear regression models, and panel data models, as well as cutting-edge content such as generalized method of moments (GMM), Lagrange multiplier tests, time series analysis, discrete dependent variable models, censored dependent variable models, and duration models.
The second feature is its well-organized structure, progressing from basic to advanced levels, making it easy for readers to follow. The third feature is its balance between theoretical rigor and practical methodology. For example, the book dedicates significant space to proving the properties of the maximum likelihood estimation method and the asymptotic results of the augmented regression model. While powerful econometric software makes model estimation relatively easy, understanding the underlying mechanisms of the models remains essential. The book includes numerous examples drawn from classic results in economic research, providing valuable insights for readers to understand and apply econometric methods. Additionally, each chapter is supplemented with a large number of exercises to help readers reinforce their understanding.
It is suitable for graduate students or upper-level undergraduates in economics and management majors as a textbook in econometrics. The book can also serve as a reference for economics and management faculty and researchers.