Estimation within the new integrated system of household surveys in Germany

Dual frame surveys are a device to reduce the costs derived from data collection in surveys and improve coverage for the whole target population. Since their introduction, in the 1960's, dual frame surveys have gained much attention and several estimators have been formulated based on a number of different approaches. In this work, we propose new dual frame estimators based on the population empirical likelihood method originally proposed by Chen and Kim (Stat Sin 24:335-355, 2014) and using both the dual and the single frame approach. The extension of the proposed methodology to more than two frame surveys is also sketched. The performance of the proposed estimators in terms of relative bias and relative mean squared error is tested through simulation experiments. These experiments indicate that the proposed estimators yield better results than other likelihood-based estimators proposed in the literature.

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Population empirical likelihood estimation in dual frame surveys

Rueda

Ranalli

Caruz

et al. 2020

Stat Papers

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A split questionnaire survey design in the context of statistical matching

Ali

Kauermann

2021

Stat Methods Appl

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Estimation within the new integrated system of household surveys in Germany

Cited by 2 publications

References 25 publications

Population empirical likelihood estimation in dual frame surveys

Population empirical likelihood estimation in dual frame surveys

A split questionnaire survey design in the context of statistical matching

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