Abstract
Estimation problems sometimes have inherent constraints which, when used, increase efficiency. When these constraints vary over time, the Kalman filter provides a convenient method of imposing them. This paper applies the Kalman filter to the problem of estimating state (provincial) populations given annual national population and national net arrivals, together with actual state populations in census years. An advantage with this approach is that the resulting projections can be evaluated by the provision of standard errors and the quality of one step ahead predictions. With our data the method seems to perform well for population projections, but poorly for net arrivals.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
