Quality procedures for survey transitions - experiments, time series and discontinuities
Quality procedures for survey transitions - experiments, time series and discontinuities
To maintain uninterrupted time series, surveys conducted by national statistical institutes are often kept unchanged as long as possible. When a change is proposed to improve the methods, it may affect the continuity of these series. It is important to minimise the impact so as to minimise the inconvenience for users. In this paper we set out the steps in an orderly transition, provide practical guidance on how to minimise discontinuities, and review methods for dealing with discontinuities if they arise so as to maintain a consistently-estimated series.
backcasting, design and analysis of experiments, survey sampling, synthetic adjustments, time series analysis
123-141
van den Brakel, Jan
74b568b9-188e-4d5d-b6f4-1030a99038d4
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Compton, Simon
6ebb5701-eccd-4222-9aa4-a2ef61e222e4
2008
van den Brakel, Jan
74b568b9-188e-4d5d-b6f4-1030a99038d4
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Compton, Simon
6ebb5701-eccd-4222-9aa4-a2ef61e222e4
van den Brakel, Jan, Smith, Paul A. and Compton, Simon
(2008)
Quality procedures for survey transitions - experiments, time series and discontinuities.
Survey Research Methods, 2 (3), .
Abstract
To maintain uninterrupted time series, surveys conducted by national statistical institutes are often kept unchanged as long as possible. When a change is proposed to improve the methods, it may affect the continuity of these series. It is important to minimise the impact so as to minimise the inconvenience for users. In this paper we set out the steps in an orderly transition, provide practical guidance on how to minimise discontinuities, and review methods for dealing with discontinuities if they arise so as to maintain a consistently-estimated series.
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Published date: 2008
Keywords:
backcasting, design and analysis of experiments, survey sampling, synthetic adjustments, time series analysis
Organisations:
Faculty of Social, Human and Mathematical Sciences
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Local EPrints ID: 369924
URI: http://eprints.soton.ac.uk/id/eprint/369924
PURE UUID: b97ddcc9-6c8d-4cc5-af4b-69b2b5d2bf39
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Date deposited: 08 Oct 2014 15:53
Last modified: 08 Jan 2022 03:23
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Author:
Jan van den Brakel
Author:
Simon Compton
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