This paper suggests a new approach for estimating linear and non-linear dynamic term structure models with latent factors. We impose no distributional assumptions on the factors which therefore may be non-Gaussian. The novelty of our approach is to use many observables (yields or bond prices) in...

We improve the accuracy and speed of particle filtering for non-linear DSGE models with potentially non-normal shocks. This is done by introducing a new proposal distribution which (i) incorporates information from new observables and (ii) has a small optimization step that minimizes the...

This paper studies the pruned state-space system for higher-order approximations to the solutions of DSGE models. For second- and third-order approximations, we derive the statistical properties of this system and provide closed-form expressions for first and second unconditional moments and...

This paper develops a DSGE model which is shown to explain variation in the nominal and real term structure as well as inflation surveys and four macrovariables for the UK economy. The model is estimated based on a third-order approximation to allow for time-varying term premia. We find a fall...

This paper studies the pruned state-space system for higher-order approximations to the solutions of DSGE models. For second- and third-order approximations, we derive the statistical properties of this system and provide closed-form expressions for first and second unconditional moments and...

This paper argues that a specification of stochastic volatility commonly used in DSGE models may not be appropriate, because the level of a process with this specification does not have any moments. We suggest three ways to overcome the problem.