Determination of the Threshold in Cutoff Sampling Using Response Burden with an Application to Intrastat

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
Sašo Polanec, Paul A. Smith, M. Bavdaž
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引用次数: 1

Abstract

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.
使用响应负荷确定截断采样的阈值及其在统计中的应用
摘要统计局经常使用截止抽样来确定人群中哪些企业应该接受调查。例子包括关于国际贸易、生产、创新、信息和通信技术使用等的商业调查。截止阈值通常根据感兴趣的关键变量设定,旨在满足最低覆盖率——报告单位总值的份额。在本文中,我们提出了一种简单的成本效益方法,通过考虑响应负担来确定采样截止值。根据现有实践,我们使用覆盖率作为精度的衡量标准,并为截止值的确定提供分析或数值解决方案。利用一项关于欧盟内部贸易流量报告响应负担的商业调查(Intrastat),我们提出了一个应用程序,说明了我们确定截止值的方法。一个重要的实际含义是设置行业条件下的截止值的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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