DSGE Model Estimation on Base of Second Order Approximation

Sergey Ivashchenko

No 2011/07, EUSP Department of Economics Working Paper Series from European University at St. Petersburg, Department of Economics

Abstract: This article compares properties of different non-linear Kalman filters: well-known Unscented Kalman filter (UKF), Central Difference Kalman Filter (CDKF) and unknown Quadratic Kalman filter (QKF). Small financial DSGE model is repeatedly estimated by maximum quasi-likelihood methods with different filters for data generated by the model. Errors of parameters estimation are measure of filters quality. The result is that QKF has reasonable advantage in quality over CDKF and UKF with some loose in speed.

Keywords: DSGE; QKF; CDKF; UKF; quadratic approximation; Kalman filtering (search for similar items in EconPapers)
JEL-codes: C13 C32 E32 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2011-09-20
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Related works:
Journal Article: DSGE Model Estimation on the Basis of Second-Order Approximation (2014)
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