Estimating the state vector of linearized DSGE models without the Kalman filter

C-Tier
Journal: Economics Letters
Year: 2013
Volume: 120
Issue: 1
Pages: 65-66

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This note presents a simple method for estimating the state vector of linearized DSGE models without using the Kalman filter. The conditional covariance matrix of the state vector is also derived. The method can easily cope with filtered data, and with arbitrary patterns of missing observations.

Technical Details

RePEc Handle
repec:eee:ecolet:v:120:y:2013:i:1:p:65-66
Journal Field
General
Author Count
1
Added to Database
2026-01-25