Choosing the variables to estimate singular DSGE models
Title: Choosing the variables to estimate singular DSGE models
Citation: Journal of Applied Econometrics, 2014, Vol. 29, No. 7, pp. 1099-1117
ISSN: 0883-7252; 1099-1255
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 selects 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.
Article first published online on September 23, 2014
Initial version: http://hdl.handle.net/1814/29201
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