Discussion paper

DP9381 Choosing the variables to estimate singular DSGE models

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.

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Citation

Canova, F and C Matthes (2013), ‘DP9381 Choosing the variables to estimate singular DSGE models‘, CEPR Discussion Paper No. 9381. CEPR Press, Paris & London. https://cepr.org/publications/dp9381