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Bringing together a collection of previously published work, this 2004 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.

Econometric models --- Modèles économétriques --- AA / International- internationaal --- 303.6 --- 305.971 --- 304.3 --- 304.0 --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference. --- Speciale gevallen in econometrische modelbouw. --- Statistische analyse van de seizoenschommelingen. --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Econometric models. --- Modèles économétriques --- Econometrics --- Mathematical models --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Statistische analyse van de seizoenschommelingen --- Speciale gevallen in econometrische modelbouw --- Business, Economy and Management --- Economics --- Analyses des series temporelles --- Economie structurale --- Time series analysis