The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
Author: Arnold Zellner
language: en
Publisher: Cambridge University Press
Release Date: 2004-10-21
Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike.
The Palgrave Companion to Chicago Economics
The University of Chicago has been and continues to be one of the most important global centres for economics. With six chapters on themes in Chicago economics and 33 chapters on the lives and work of Chicago economists, this volume shows how economics became established at the University, how it produced some of the world’s best-known economists, including Frank Knight, Milton Friedman and Robert Lucas, and how it remains a global force for the very best in teaching and research in economics. With original contributions from a stellar cast, this volume provides economists – especially those interested in macroeconomics and the history of economic thought – with an in-depth analysis of Chicago economics.
Applied Time Series Econometrics
Author: Helmut Lütkepohl
language: en
Publisher: Cambridge University Press
Release Date: 2004-08-02
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.