We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

We show that microfounded DSGE models with nominal rigidities can be successful in replicating features of bond yield data which have previously been considered puzzling in general equilibrium frameworks. Consistent with empirical evidence, we obtain average holding period returns that are...

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

We show that microfounded DSGE models with nominal rigidities can be successful in replicating features of bond yield data which have previously been considered puzzling in general equilibrium frameworks. Consistent with empirical evidence, we obtain average holding period returns that are...

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

We estimate the approximate nonlinear solution of a small DSGE model using Bayesian methods. Our results, based on euro area data, suggest that this approch delivers sharper inference compared to the estimation of the linearised solution. The nonlinear model can also account for richer economic...

Particle Filters are now regularly used to obtain the filter distributions associated with state space financial time series. The method most commonly used nowadays is the auxiliary particle filter method in conjunction with a first order Taylor expansion of the log-likelihood. We argue in this...