It is now widely understood how to obtain first-order accurate approximations to the solution to a dynamic, stochastic general equilibrium model (DSGE model). Such solutions are fairly easy to construct and useful for a wide variety of purposes. They are likely to be accurate enough to be a basis for fitting the models to data, fo
doi:10.1080/07474930701220071 This paper reviews Bayesian methods that have been developed in recent...
This paper highlights the fact that mean-shifting normalization of variables in DSGE models might in...
This paper discusses a tractable approach for computing the likelihood function of non-linear Dynami...
It is now widely understood how to obtain first-order accurate approximations to the solution to a d...
ABSTRACT. We describe an algorithm for calculating second order approximations to the solutions to n...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9512(no 2963) / BLDSC - British ...
Also available via the InternetSIGLEAvailable from British Library Document Supply Centre-DSC:3597.9...
This paper describes a simple method for the calculation of second-order solutions to dynamic genera...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
This paper employs the one-sector Real Business Cycle model as a testing ground for four different p...
This paper develops a novel approach for estimating latent state variables of Dynamic Stochastic Gen...
Our research agenda has focused on the estimation of dynamic stochastic general equilibrium (DSGE) m...
This paper employs the one-sector Real Business Cycle model as a testing ground for four different p...
In this paper, I review the literature on the formulation and estimation of dynamic stochastic gener...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
doi:10.1080/07474930701220071 This paper reviews Bayesian methods that have been developed in recent...
This paper highlights the fact that mean-shifting normalization of variables in DSGE models might in...
This paper discusses a tractable approach for computing the likelihood function of non-linear Dynami...
It is now widely understood how to obtain first-order accurate approximations to the solution to a d...
ABSTRACT. We describe an algorithm for calculating second order approximations to the solutions to n...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9512(no 2963) / BLDSC - British ...
Also available via the InternetSIGLEAvailable from British Library Document Supply Centre-DSC:3597.9...
This paper describes a simple method for the calculation of second-order solutions to dynamic genera...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
This paper employs the one-sector Real Business Cycle model as a testing ground for four different p...
This paper develops a novel approach for estimating latent state variables of Dynamic Stochastic Gen...
Our research agenda has focused on the estimation of dynamic stochastic general equilibrium (DSGE) m...
This paper employs the one-sector Real Business Cycle model as a testing ground for four different p...
In this paper, I review the literature on the formulation and estimation of dynamic stochastic gener...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
doi:10.1080/07474930701220071 This paper reviews Bayesian methods that have been developed in recent...
This paper highlights the fact that mean-shifting normalization of variables in DSGE models might in...
This paper discusses a tractable approach for computing the likelihood function of non-linear Dynami...