The Structural Econometric Time Series Analysis Approach

Franz C. Palm

ISBN 10: 0521187435 / ISBN 13: 9780521187435

Published by Cambridge University Press, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521187435

Bibliographic Details

• Title: The Structural Econometric Time Series Analysis Approach
• Publisher: Cambridge University Press
• Publication Date: 2011
• Language: English
• ISBN 10: 0521187435
• ISBN 13: 9780521187435
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 39D millimeters 229 millimeters width by 152 millimeters height by 39 millimeters depth
• Weight: 1046 grams

About this title

Synopsis

This book assembles key texts in the theory and applications of the Structural Econometric Time Series Analysis (SEMTSA) approach. 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 presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision.

Book Description

This 2004 book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It 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.