Paccagnini, Alessia (2010): DSGE Model Validation in a Bayesian Framework: an Assessment.
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Abstract
This paper presents the concept of Model Validation applied to a Dynamic Stochastic General equilibrium Model (DSGE). The main problem discussed is the approximation of the statistical representation for a DSGE model when not all endogenous variables are observable. MonteCarlo experiments in artificial world are implemented to assess this problem by using the DSGE-VAR. Two Data Generating Processes are compared: a forward-looking and a backward-looking model. These experiments are followed by an empirical analysis with real world data for the US economy.
Item Type: | MPRA Paper |
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Original Title: | DSGE Model Validation in a Bayesian Framework: an Assessment |
Language: | English |
Keywords: | Bayesian Analysis, DSGE Models, Vector Autoregressions, MonteCarlo experiments |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: General |
Item ID: | 24509 |
Depositing User: | Alessia Paccagnini |
Date Deposited: | 22 Aug 2010 00:46 |
Last Modified: | 27 Sep 2019 16:40 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24509 |
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