Ping Zong – författare

Today econometrics has been widely applied in the empirical study of economics. As an empirical science, econometrics uses rigorous mathematical and statistical methods for economic problems. Understanding the methodologies of both econometrics and statistics is a crucial departure for econometrics. The primary focus of this book is to provide an understanding of statistical properties behind econometric methods. Following the introduction in Chapter 1, Chapter 2 provides the methodological review of both econometrics and statistics in different periods since the 1930s. Chapters 3 and 4 explain the underlying theoretical methodologies for estimated equations in the simple regression and multiple regression models and discuss the debates about p-values in particular. This part of the book offers the reader a richer understanding of the methods of statistics behind the methodology of econometrics. Chapters 5–9 of the book are focused on the discussion of regression models using time series data, traditional causal econometric models, and the latest statistical techniques. By concentrating on dynamic structural linear models like state-space models and the Bayesian approach, the book alludes to the fact that this methodological study is not only a science but also an art. This work serves as a handy reference book for anyone interested in econometrics, particularly in relevance to students and academic and business researchers in all quantitative analysis fields.

Today econometrics has been widely applied in the empirical study of economics. As an empirical science, econometrics uses rigorous mathematical and statistical methods for economic problems. Understanding the methodologies of both econometrics and statistics is a crucial departure for econometrics. The primary focus of this book is to provide an understanding of statistical properties behind econometric methods. Following the introduction in Chapter 1, Chapter 2 provides the methodological review of both econometrics and statistics in different periods since the 1930s. Chapters 3 and 4 explain the underlying theoretical methodologies for estimated equations in the simple regression and multiple regression models and discuss the debates about p-values in particular. This part of the book offers the reader a richer understanding of the methods of statistics behind the methodology of econometrics. Chapters 5–9 of the book are focused on the discussion of regression models using time series data, traditional causal econometric models, and the latest statistical techniques. By concentrating on dynamic structural linear models like state-space models and the Bayesian approach, the book alludes to the fact that this methodological study is not only a science but also an art. This work serves as a handy reference book for anyone interested in econometrics, particularly in relevance to students and academic and business researchers in all quantitative analysis fields.

This book provides an in-depth examination of time series decomposition and seasonal adjustment, focusing on the X-13ARIMA-SEATS and TRAMO-SEATS methods. Seasonal adjustment removes distortions such as seasonal fluctuations and holiday effects from economic indicators, enabling clearer insights into underlying trends, cycles, and shocks.

Published in 1998. Chinese farm households have been at the centre of the rural reform process since the introduction of the Household Responsibility System in the late 1970’s. There can be little doubt that, for decades to come, they will continue to be a focus of interest both in academic and political circles. This is particularly true in relation to their role of grain sector, when we consider the prominent position of grain in China’s political economy. There is also intense global interest in the impact of the reform process on the country’s future grain self-sufficiency and trade. This book is ambitious in both its scope and remit. Its primary focus is the behaviour of the marketable surplus element of farm households’ grain supply since the beginning of the reform period. The early chapters provide very valuable insights into the nature of the rural reform process; it then looks at the impact of the reforms on the structure of rural economy in general and farm households in particular. This part of the book is rich in statistics on the reform period. In the analytical section the emphasis is on the difficult area of household modelling, covering both theoretical and empirical aspects. Despite the data limitations, which the authors acknowledge, these chapters provide very valuable analyses of the grain price changes. In particular, their use of models which capture the interdependencies between grain marketable surplus supply is a genuine contribution.This book should be read by anyone with an interest in the rural reform process in China and will be of particular relevance to students, scholars and the policy community.