Econometric analysis

Author: Zhang Xiaodong
Publisher:
Publish Date: 2000-09-01
Features: To objectively understand and scientifically express economic laws, and to make correct predictions of economic variables, which is the goal of economists and econometricians. Before the 1970s, the modeling methods in econometrics were all based on the assumption that "economic variables are stationary." After World War II, the non-stationarity of economic variables in various countries made traditional modeling techniques in econometrics face unprecedented challenges. In 1974, Granger-Newbold first proposed the problem of spurious regression for non-stationary variables to address this difficulty. Subsequently, the economics community increasingly focused on the study of non-stationary variables and achieved fruitful research results. Based on the introduction of classic econometric models and time series models, this book systematically presents the main research achievements on non-stationary variables in the past 20 years. The feature of this book is that while introducing the basic theory, each chapter provides several analytical cases to help readers not only understand and master the theoretical knowledge but also learn how to apply this knowledge in practice. This book can serve as a reference for teachers, researchers, and university students in the fields of economics, business, and management.