In this paper I discuss the estimation of the process governing the structural shocks (or wedges) to a DSGE model, arguing that a well-specified model would satisfy certain sets of moment conditions. Based on tests for overidentifying restrictions, I compare three specifications of the Taylor...

Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...

This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

I derive the unconditional transformed likelihood function and its derivatives for a fixed-effects panel data model with time lags, spatial lags, and spatial time lags that encompasses the pure time dynamic and pure space dynamic models as special cases. In addition, the model can accommodate...

The interaction between monetary and fiscal policy and the associated uncertainty about this interaction have been put on center stage by the recent financial crisis and the associated recession. In our model agents learn about both fiscal and monetary policy rules via the Kalman Filter. In...