Determination of the threshold in cutoff sampling using response burden with an application to Intrastat

Polanec, Sašo (author), Smith, Paul A. (author), Bavdaž, Mojca (author)

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 etc. 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 paper 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.

• Language: English
• Keywords: statistics, administrative statistics, economic statistics, accuracy, cost-benefit analysis, reporting costs, social benefits, social welfare, function.
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: EF - School of Economics and Business
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: Str. 1206-1234
• Numbering: Vol. 38, iss. 4, spec. iss.
• PID: 20.500.12556/RUL-145163
• UDC: 311
• ISSN on article: 0282-423X
• DOI: https://doi.org/10.2478/jos-2022-0051
• COBISS.SI-ID: 83009795
• Publication date in RUL: 11.04.2023

Record is a part of a journal

• Title: Journal of official statistics
• Shortened title: J. off. stat.
• Publisher: Statistics Sweden, Sciendo
• ISSN: 0282-423X
• COBISS.SI-ID: 25773312

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: statistika, upravna statistika, economic statistics

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P5-0410
• Name: Digitalizacija kot gonilo trajnostnega razvoja posameznika, organizacij in družbe