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Introduction to sampling and estimation for business surveys

Introduction to sampling and estimation for business surveys
Introduction to sampling and estimation for business surveys

Establishment surveys are characterized 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 summarize 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 summarize 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.

business surveys, calibration estimation, cut-off sampling, model-based estimation, statistical business register, stratified sampling
615-636
Wiley
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Yung, Wesley
338660bf-0842-4124-9bc6-d3b1f8dc6df7
Snijkers, Ger
Bavdaž, Mojca
Bender, Stefan
Jones, Jacqui
MacFeely, Steve
Sakshaug, Joseph W.
Thompson, Katherine J.
van Delden, Arnout
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Yung, Wesley
338660bf-0842-4124-9bc6-d3b1f8dc6df7
Snijkers, Ger
Bavdaž, Mojca
Bender, Stefan
Jones, Jacqui
MacFeely, Steve
Sakshaug, Joseph W.
Thompson, Katherine J.
van Delden, Arnout

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, pp. 615-636. (doi:10.1002/9781119672333.ch27).

Record type: Book Section

Abstract

Establishment surveys are characterized 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 summarize 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 summarize 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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More information

e-pub ahead of print date: 20 January 2023
Published date: 22 February 2023
Additional Information: Publisher Copyright: © 2023 John Wiley and Sons, Inc. All rights reserved.
Keywords: business surveys, calibration estimation, cut-off sampling, model-based estimation, statistical business register, stratified sampling

Identifiers

Local EPrints ID: 474411
URI: http://eprints.soton.ac.uk/id/eprint/474411
PURE UUID: 85d6c147-07b9-439f-b779-c1e0a9bb8246
ORCID for Paul A. Smith: ORCID iD orcid.org/0000-0001-5337-2746

Catalogue record

Date deposited: 21 Feb 2023 17:51
Last modified: 17 Mar 2024 03:36

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Contributors

Author: Paul A. Smith ORCID iD
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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