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Mutschler, Willi: Local identification of nonlinear and non-Gaussian DSGE models. 2016
Inhalt
Introduction
DSGE framework
General model and solution
Pruned state-space system
Example models
The Kim (2003) model
The An and Schorfheide (2007) model
Higher-order statistics for DSGE models
Moments, cumulants and polyspectra
Monte-Carlo analysis
Analytical derivatives
Assumptions and definitions of local identifiability
Identification of linearized DSGE models: a review and departure from Gaussianity
Rank conditions
Time domain
Frequency domain
Minimal system
Discussion
Bayesian identification criteria
Applications
The Kim (2003) model
The An and Schorfheide (2007) model
Comparison
Identification of DSGE models: the effect of higher-order approximation and pruning
Rank conditions
Implementation
Applications
The Kim (2003) model
The An and Schorfheide (2007) model
Conclusion
References
Appendix Magnus-Neudecker definition of Hessian
Appendix Auxiliary matrices and derivatives
Appendix Example for notation and index matrices
Appendix Product-moments of innovations
Appendix Generalized Sylvester equations for cumulants
Appendix Deriving numerical derivatives
Appendix Deriving the minimal state
Appendix Metropolis-Hastings algorithm