Introduction to Sampling and Estimation for Business Surveys

Smith, Paul A.; Yung, Wesley

doi:10.1002/9781119672333.ch27

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Benedetti et al (2010) (2011) use the same approach to the univariate case in longitudinal surveys, focusing on determining the sample size required to meet a fixed MSE for estimating a ratio, and for estimating a total in the presence of nonresponse. This kind of approach has been used more widely in stratified designs (see Smith and Yung (2023) for an overview), but needs to be adapted to cutoff sampling to include the bias from neglecting or modelling E in the MSE. 4.…”

Section: Cutoff Designmentioning

confidence: 99%

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

Polanec

Smith

Bavdaž

2022

Journal of Official Statistics

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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.

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Section: Cutoff Designmentioning

confidence: 99%