EconPapers    
Economics at your fingertips  
 

A low dimensional Kalman filter for systems with lagged states in the measurement equation

Kristoffer Nimark (krisnimark@gmail.com)

Economics Letters, 2015, vol. 127, issue C, 10-13

Abstract: This note describes how the Kalman filter and the Kalman smoother can be modified to allow for the vector of observables to be a function of lagged state variables without increasing the dimension of the state vector in the filter.

Keywords: Kalman filter; Lagged observables; Kalman smoother; Simulation smoother (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176514004777
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:127:y:2015:i:c:p:10-13

DOI: 10.1016/j.econlet.2014.12.016

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).

 
Page updated 2025-03-19
Handle: RePEc:eee:ecolet:v:127:y:2015:i:c:p:10-13