Feeding back Information on Ineligibility from Sample Surveys to the Frame
Feeding back Information on Ineligibility from Sample Surveys to the Frame
It is usually discovered in the data collection phase of a survey that some units in the sample are ineligible even if the frame information has indicated otherwise. For example, in many business surveys a nonnegligible proportion of the sampled units will have ceased trading since the latest update of the frame. This information may be fed back to the frame and used in subsequent surveys, thereby making forthcoming samples more efficient by avoiding sampling nonnegligible units. We investigate what effect on survey estimation the process of feeding back information on ineligibility may have, and derive an expression for the bias that can occur as a result of feeding back. The focus is on estimation of the total using the common expansion estimator. We obtain an estimator that is nearly unbiased in the presence of feed back. This estimator relies on consistent estimates of the number of eligible and ineligible units in the population being available.
Southampton Statistical Sciences Research Institute, University of Southampton
Hedlin, Dan
0209f71c-a071-4fde-8c2d-d3e7cedaf611
Wang, Suojin
87b7d7d7-ce66-4870-8f0b-d0f809542122
2003
Hedlin, Dan
0209f71c-a071-4fde-8c2d-d3e7cedaf611
Wang, Suojin
87b7d7d7-ce66-4870-8f0b-d0f809542122
Hedlin, Dan and Wang, Suojin
(2003)
Feeding back Information on Ineligibility from Sample Surveys to the Frame
(S3RI Methodology Working Papers, M03/01)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
24pp.
Record type:
Monograph
(Working Paper)
Abstract
It is usually discovered in the data collection phase of a survey that some units in the sample are ineligible even if the frame information has indicated otherwise. For example, in many business surveys a nonnegligible proportion of the sampled units will have ceased trading since the latest update of the frame. This information may be fed back to the frame and used in subsequent surveys, thereby making forthcoming samples more efficient by avoiding sampling nonnegligible units. We investigate what effect on survey estimation the process of feeding back information on ineligibility may have, and derive an expression for the bias that can occur as a result of feeding back. The focus is on estimation of the total using the common expansion estimator. We obtain an estimator that is nearly unbiased in the presence of feed back. This estimator relies on consistent estimates of the number of eligible and ineligible units in the population being available.
More information
Published date: 2003
Identifiers
Local EPrints ID: 284
URI: http://eprints.soton.ac.uk/id/eprint/284
PURE UUID: 92660d7e-82ee-4287-8dd1-da1e2019dc3b
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Date deposited: 15 Jan 2004
Last modified: 15 Mar 2024 04:38
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Contributors
Author:
Dan Hedlin
Author:
Suojin Wang
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