If you are seeing this message, you may be experiencing temporary network problems. Please wait a few minutes and refresh the page. If the problem persists, you may wish to report it to your local Network Manager.
It is also possible that your web browser is not configured or not able to display style sheets. In this case, although the visual presentation will be degraded, the site should continue to be functional. We recommend using the latest version of Microsoft or Mozilla web browser to help minimise these problems.
Wiley InterScience | ||
![]() Econometrics JournalVolume 8 Issue 3, Pages 418 - 427 Published Online: 25 Nov 2005 Journal compilation © 2009 Royal Economic Society. Published on behalf of the Royal Economic Society
Abstract | References | Full Text: HTML, PDF (Size: 94K) | Related Articles | Citation Tracking Repeated surveys and the Kalman filter Copyright 2005 Royal Economic Society KEYWORDS
Surveys
•
Kalman filter
•
Time series
ABSTRACTSummary The time-series nature of repeated surveys is seldom taken into account. The few studies that do so smooth the period-wise estimates without using the cross-sectional information. This leads to inefficient estimation. We present a statistical model of repeated surveys and construct a computationally simple estimator based on the Kalman filter algorithm. The method efficiently uses the whole underlying data set, but only the first and second moments of the data are required for computational purposes. Received: May 2004 |