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Wiley InterScience

Econometrics Journal

Econometrics Journal

Volume 8 Issue 3, Pages 418 - 427

Published Online: 25 Nov 2005

Journal compilation © 2009 Royal Economic Society.



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Repeated surveys and the Kalman filter
Jo Thori Lind*
  *Department of Economics, University of Oslo, PB 1095 Blindern, 0317 Oslo, Norway E-mail:j.t.lind@econ.uio.no
Copyright 2005 Royal Economic Society
KEYWORDS
SurveysKalman filterTime series

ABSTRACT

Summary 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

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1368-423X.2005.00172.x About DOI

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