20.500.12556/RUL-145163 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 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. statistics administrative statistics economic statistics accuracy cost-benefit analysis reporting costs social benefits social welfare function. statistika upravna statistika economic statistics true false true Angleški jezik Slovenski jezik Članek v reviji 2023-04-11 15:08:24 2023-04-11 15:15:38 2023-04-12 03:32:49 0000-00-00 00:00:00 2022 0 0 Str. 1206-1234 iss. 4, spec. iss. Vol. 38 Dec. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 311 0282-423X https://doi.org/10.2478/jos-2022-0051 83009795 Determination_of_the_Threshold_in_Cutoff_Sampling_Using_Response_Burden_with_an_Application_to_Intrastat.pdf Determination_of_the_Threshold_in_Cutoff_Sampling_Using_Response_Burden_with_an_Application_to_Intrastat.pdf 1 1A6418C86DFCA7E92E91E33886B324DB c4702a7fde52947c702f0bc15f17baf313558e32ac83608a6b08c7757c168ee8 70232419-d86a-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167848 https://sciendo.com/article/10.2478/jos-2022-0051 0 7c956c35-d86a-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167849 Ekonomska fakulteta 0 0 0