Introduction to sampling and estimation for business surveys
Introduction to sampling and estimation for business surveys
Establishment surveys are characterised by skewed populations, with a few large units having a disproportionate contribution to statistics, and a large number of smaller units. They also have good auxiliary data which can be used for efficient sampling and estimation and in the construction of models to assist in various stages of the survey process. In this chapter, we summarise the properties of stratified sampling, and review procedures for determining the numbers and definitions of strata and for allocating the sample according to variance or sample size constraints. We briefly summarise other sampling approaches in business surveys, including cut-off sampling. Then we give an overview of calibration estimation, and the properties that make it useful in multipurpose surveys. We review methods for dealing with outlying and unusual observations with large effects on estimates, and the ways in which bias and variance are traded off in these estimates. Finally, we give an overview of some model-based approaches in establishment surveys.
615-636
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Yung, Wesley
338660bf-0842-4124-9bc6-d3b1f8dc6df7
22 February 2023
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Yung, Wesley
338660bf-0842-4124-9bc6-d3b1f8dc6df7
Smith, Paul A. and Yung, Wesley
(2023)
Introduction to sampling and estimation for business surveys.
In,
Snijkers, Ger, Bavdaž, Mojca, Bender, Stefan, Jones, Jacqui, MacFeely, Steve, Sakshaug, Joseph W., Thompson, Katherine J. and van Delden, Arnout
(eds.)
Advances in Business Statistics, Methods and Data Collection.
Hoboken.
Wiley, .
(doi:10.1002/9781119672333.ch27).
Record type:
Book Section
Abstract
Establishment surveys are characterised by skewed populations, with a few large units having a disproportionate contribution to statistics, and a large number of smaller units. They also have good auxiliary data which can be used for efficient sampling and estimation and in the construction of models to assist in various stages of the survey process. In this chapter, we summarise the properties of stratified sampling, and review procedures for determining the numbers and definitions of strata and for allocating the sample according to variance or sample size constraints. We briefly summarise other sampling approaches in business surveys, including cut-off sampling. Then we give an overview of calibration estimation, and the properties that make it useful in multipurpose surveys. We review methods for dealing with outlying and unusual observations with large effects on estimates, and the ways in which bias and variance are traded off in these estimates. Finally, we give an overview of some model-based approaches in establishment surveys.
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e-pub ahead of print date: 20 January 2023
Published date: 22 February 2023
Identifiers
Local EPrints ID: 474411
URI: http://eprints.soton.ac.uk/id/eprint/474411
PURE UUID: 85d6c147-07b9-439f-b779-c1e0a9bb8246
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Date deposited: 21 Feb 2023 17:51
Last modified: 25 May 2023 01:43
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Contributors
Author:
Wesley Yung
Editor:
Ger Snijkers
Editor:
Mojca Bavdaž
Editor:
Stefan Bender
Editor:
Jacqui Jones
Editor:
Steve MacFeely
Editor:
Joseph W. Sakshaug
Editor:
Katherine J. Thompson
Editor:
Arnout van Delden
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