1989 | OriginalPaper | Buchkapitel
Stochastic Simulation, Prediction and Validation of Nonlinear Models
verfasst von : Roberto S. Mariano, Bryan W. Brown
Erschienen in: Economics in Theory and Practice: An Eclectic Approach
Verlag: Springer Netherlands
Enthalten in: Professional Book Archive
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Many econometric models for forecasting and policy analysis consist of a statistically estimated dynamic system of nonlinear stochastic equations. The distinguishing feature of these models is the nonlinearity of the solution for the endogenous variables in terms of model disturbances. Additionally, they are dynamic — with lagged endogenous variables and/or serially correlated errors. Models of macroeconomic systems and limited dependent variables in a simultaneous setting are notable examples.