Determination of the threshold in cutoff sampling using response burden with an application to Intrastat
Determination of the threshold in cutoff sampling using response burden with an application to Intrastat
Statistical offices frequently use cutoff sampling to determine which businesses in a population should be surveyed. Examples include business surveys about international trade, production, innovation, ICT usage and so on. Cutoff thresholds are typically set in terms of key variables of interest and aim to satisfy a minimum coverage ratio-the share of aggregate values of reporting units. In this article we propose a simple cost-benefit approach to determination of the sampling cutoff by taking into account the response burden. In line with existing practice, we use the coverage ratio as our measure of accuracy and provide either analytical or numerical solutions to cutoff determination. Using a business survey on response burden of reporting trade flows within the EU (Intrastat), we present an application that illustrates our approach to cutoff determination. An important practical implication is the possibility to set industry-contingent cutoffs.
accuracy, cost-benefit analysis, reporting costs, social benefits, social welfare function
1205-1234
Polanec, Sašo
519516ec-3330-408a-8ca5-c5b3bc351004
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Bavdaž, Mojca
d16133e5-d91b-4a3e-baa5-135d4960b177
3 December 2022
Polanec, Sašo
519516ec-3330-408a-8ca5-c5b3bc351004
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Bavdaž, Mojca
d16133e5-d91b-4a3e-baa5-135d4960b177
Polanec, Sašo, Smith, Paul A. and Bavdaž, Mojca
(2022)
Determination of the threshold in cutoff sampling using response burden with an application to Intrastat.
Journal of Official Statistics, 38 (4), .
(doi:10.2478/JOS-2022-0051).
Abstract
Statistical offices frequently use cutoff sampling to determine which businesses in a population should be surveyed. Examples include business surveys about international trade, production, innovation, ICT usage and so on. Cutoff thresholds are typically set in terms of key variables of interest and aim to satisfy a minimum coverage ratio-the share of aggregate values of reporting units. In this article we propose a simple cost-benefit approach to determination of the sampling cutoff by taking into account the response burden. In line with existing practice, we use the coverage ratio as our measure of accuracy and provide either analytical or numerical solutions to cutoff determination. Using a business survey on response burden of reporting trade flows within the EU (Intrastat), we present an application that illustrates our approach to cutoff determination. An important practical implication is the possibility to set industry-contingent cutoffs.
Text
ResponseBurden_Model Rev_Submitted_Rev2-1
- Accepted Manuscript
More information
Accepted/In Press date: 27 September 2021
Published date: 3 December 2022
Additional Information:
Funding Information:
We are grateful to the Associate Editor and three anonymous Referees for their comments. We would also like to thank the Statistical Office of the Republic of Slovenia (SURS) and Simon Perše for access to data, and for the past research which inspired this analysis. Mojca Bavdaž was partly funded by the Slovenian Research Agency under the research programme Digitalization as Driving Force for Sustainability of Individuals, Organizations, and Society (no. P5-0410). The 'Survey on current response burden in Intrastat' (SURS 2014) received funding from Eurostat under the project Modernising Intrastat carried out by SURS (January 2014-March 2015) under grant agreement no. 06142.2013.001-2013.521.
Publisher Copyright:
© 2022 Sašo Polanec et al.
Keywords:
accuracy, cost-benefit analysis, reporting costs, social benefits, social welfare function
Identifiers
Local EPrints ID: 451627
URI: http://eprints.soton.ac.uk/id/eprint/451627
ISSN: 0282-423X
PURE UUID: 4459277f-55d3-4fc3-89b0-173714adda18
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Date deposited: 14 Oct 2021 16:33
Last modified: 17 Mar 2024 03:36
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Author:
Sašo Polanec
Author:
Mojca Bavdaž
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