Modelling Nonlinear Economic Relationships (Advanced Texts in Econometrics)

Rating:
Summary: More nonlinear than modelling
Review: A good book by Clive Granger and Timo Teräsvirta, whose attention on nonlinearities in econometrics has been producing several interesting results especially as far as economic modelling is concerned. This text mainly deals with nonlinear time series and helps the reader understand the basic results of nonlinear stochastic equations. Several common nonlinear models are presented and dealt with, and an extention of the linear concept of integration is provided. The main problems in this book are the lack of a full dynamical system approach that makes some results rather difficult to be understood for the reader and therefore the loss of generality in the explanation of the concepts. It's anyway a good book that studies in a deep way bilinear and smooth transition autoregressive models from a theoretical point of view. I also found it extremely clear, which is a common characteristic of Granger's texts, and I would recommend it to all the econometricians who already have a good knowledge of nonlinear deterministic systems and want to understand stochastic nonlinear models better.

Rating:
Summary: More nonlinear than modelling
Review: A good book by Clive Granger and Timo Teräsvirta, whose attention on nonlinearities in econometrics has been producing several interesting results especially as far as economic modelling is concerned. This text mainly deals with nonlinear time series and helps the reader understand the basic results of nonlinear stochastic equations. Several common nonlinear models are presented and dealt with, and an extention of the linear concept of integration is provided. The main problems in this book are the lack of a full dynamical system approach that makes some results rather difficult to be understood for the reader and therefore the loss of generality in the explanation of the concepts. It's anyway a good book that studies in a deep way bilinear and smooth transition autoregressive models from a theoretical point of view. I also found it extremely clear, which is a common characteristic of Granger's texts, and I would recommend it to all the econometricians who already have a good knowledge of nonlinear deterministic systems and want to understand stochastic nonlinear models better.

Rating:
Summary: A must-have for any researcher and econometrics student
Review: This book is highly influential. Many works on nonlinear modelling have cited this book. Written by one of the Noble econometricians, this book is surprisingly not hard to follow.
The explanations are clear and concise. Theories, modelling strategies, and empirical applications are covered in detailed. If you are a researcher or student wanted to learn state-of-the-art techniques in nonlinear modelling, this book is a good start.

Rating:
Summary: A must-have for any researcher and econometrics student
Review: This book is highly influential. Many works on nonlinear modelling have cited this book. Written by one of the Noble econometricians, this book is surprisingly not hard to follow.
The explanations are clear and concise. Theories, modelling strategies, and empirical applications are covered in detailed. If you are a researcher or student wanted to learn state-of-the-art techniques in nonlinear modelling, this book is a good start.