<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Misclassified frame records (also called stratum jumpers) and low response rates are characteristic for business surveys. In the context of estimation of the domain parameters, jumpers may contribute to extreme variation in sample weights and skewed sampling distributions of the estimators, especially for domains with a small number of observations. There is limited literature about the extent to which these problems may affect the performance of the ratio estimators with nonresponse-adjusted weights. To address this gap, we designed a simulation study to explore the properties of the Horvitz-Thompson type ratio estimators, with and without smoothing of the weights, under different scenarios. The ratio estimator with propensity-adjusted weights showed satisfactory performance in all scenarios with a high response rate. For scenarios with a low response rate, the performance of this estimator improved with an increase in the proportion of jumpers in the domain. The smoothed estimators that we studied performed well in scenarios with non-informative weights, but can become markedly biased when the weights are informative, irrespective of response rate. We also studied the performance of the ’doubled half’ bootstrap method for variance estimation. We illustrated an application of the methods in a real business survey.</p>
</abstract>

Misclassified frame records (also called stratum jumpers) and low response rates are characteristic for business surveys. In the context of estimation of the domain parameters, jumpers may contribute to extreme variation in sample weights and skewed sampling distributions of the estimators, especially for domains with a small number of observations. There is limited literature about the extent to which these problems may affect the performance of the ratio estimators with nonresponse-adjusted weights. To address this gap, we designed a simulation study to explore the properties of the Horvitz-Thompson type ratio estimators, with and without smoothing of the weights, under different scenarios. The ratio estimator with propensity-adjusted weights showed satisfactory performance in all scenarios with a high response rate. For scenarios with a low response rate, the performance of this estimator improved with an increase in the proportion of jumpers in the domain. The smoothed estimators that we studied performed well in scenarios with non-informative weights, but can become markedly biased when the weights are informative, irrespective of response rate. We also studied the performance of the ’doubled half’ bootstrap method for variance estimation. We illustrated an application of the methods in a real business survey.

Estimation of Domain Means from Business Surveys in the Presence of Stratum Jumpers and Nonresponse

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Misclassified frame records (also called stratum jumpers) and low response rates are characteristic for business surveys. In the context of estimation of the...

Estimation of Domain Means from Business Surveys in the Presence of Stratum Jumpers and Nonresponse

Publié en ligne: 26 déc. 2021

Pages: 1059 - 1078

Reçu: 01 mars 2019

Accepté: 01 mai 2021

DOI: https://doi.org/10.2478/jos-2021-0045

Mots clés
Doubled half bootstrap, propensity-adjusted weights, weight smoothing

© 2020 Mengxuan Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Estimation of Domain Means from Business Surveys in the Presence of Stratum Jumpers and Nonresponse

Publié en ligne: 26 déc. 2021

Pages: 1059 - 1078

Reçu: 01 mars 2019

Accepté: 01 mai 2021

DOI: https://doi.org/10.2478/jos-2021-0045

Mots clésDoubled half bootstrap, propensity-adjusted weights, weight smoothing

© 2020 Mengxuan Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Doubled half bootstrap, propensity-adjusted weights, weight smoothing