DP9381 | Choosing the variables to estimate singular DSGE models

Publication Date

10/03/2013

JEL Code(s)

Keyword(s)

Programme Area(s)

Abstract

We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second the vector that minimizes the informational discrepancy between the singular and non-singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided.