DSGE model. The first selects the vector of observables that optimizes parameter identification; the second the vector that …

We investigate identification issues in DSGE models and their consequences for parameter estimation and model … equivalence, partial and weak identification problems are widespread and typically produced by an ill-behaved mapping between the … structural parameters and the coefficients of the solution. Different objective functions affect identification and small samples …

identification problems due, in large part, to the nature of DSGE models. The problems can be patched up in a number of ways, but …

In this Paper we study identification in dynamic factor models and argue that factor models are better suited than VARs … be small, so that only a few restrictions are needed to reach identification. Economic interpretation is then easier. On …

asymptotically valid regardless of the strength of the identification. …

and zero restrictions and the answers have been positive and definite in both cases. While the identification of SVARs …