A Note on the Optimum Allocation of Resources to Follow up Unit Nonrespondents in Probability Surveys

2023/06/07 by Siu‐Ming Tam, Su-Ming Tam, Tam, Su-Ming +4 · 1 citation
Social Sciences · Mathematics · #Survey Methodology and Nonresponse #Survey Sampling and Estimation Techniques

paper · pdf · doi:10.2478/jos-2023-0020

Abstract

Abstract Common practice to address nonresponse in probability surveys in National Statistical Offices is to follow up every non respondent with a view to lifting response rates. As response rate is an insufficient indicator of data quality, it is argued that one should follow up non respondents with a view to reducing the mean squared error (MSE) of the estimator of the variable of interest. In this article, we propose a method to allocate the nonresponse follow-up resources in such a way as to minimise the MSE under a quasi-randomisation framework. An example to illustrate the method using the 2018/19 Rural Environment and Agricultural Commodities Survey from the Australian Bureau of Statistics is provided.

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