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These essays by Clive W.J. Granger span more than four decades and cover major topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. The introduction by Eric Gysels, Norman R. Swanson and Mark W. Watson places the essays in context and demonstrates their enduring value.
These essays by Clive W.J. Granger span more than four decades and cover major topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. The introduction by Eric Gysels, Norman R. Swanson and Mark W. Watson places the essays in context and demonstrates their enduring value.
Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from lea...
These are econometrician Clive W. J. Granger's major essays in causality, integration, cointegration, and long memory.
These are econometrician Clive W. J. Granger's major essays in spectral analysis, seasonality, nonlinearity, methodology, and forecasting.
This book is a collection of articles that present the most recent cutting edge results on specification and estimation of economic models written by a number of the world’s foremost leaders in the fields of theoretical and methodological econometrics. Recent advances in asymptotic approximation theory, including the use of higher order asymptotics for things like estimator bias correction, and the use of various expansion and other theoretical tools for the development of bootstrap techniques designed for implementation when carrying out inference are at the forefront of theoretical development in the field of econometrics. One important feature of these advances in the theory of economet...