Estimation methods on multiple sampling frames in two-stage sampling designs

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Guillaume Chauvet and Guylène Tandeau de Marsac^Note 1

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Abstract

When studying a finite population, it is sometimes necessary to select samples from several sampling frames in order to represent all individuals. Here we are interested in the scenario where two samples are selected using a two-stage design, with common first-stage selection. We apply the Hartley (1962), Bankier (1986) and Kalton and Anderson (1986) methods, and we show that these methods can be applied conditional on first-stage selection. We also compare the performance of several estimators as part of a simulation study. Our results suggest that the estimator should be chosen carefully when there are multiple sampling frames, and that a simple estimator is sometimes preferable, even if it uses only part of the information collected.

Key Words

Expansion survey; Hansen-Hurwitz estimator; Horvitz-Thompson estimator; Two-stage sampling.

Table of content

• 1. Introduction
• 2. Estimation for multiple sampling frames
• 3. Estimation with common first-stage selection
• 4. Simulation study
• 5. Conclusion
• Acknowledgements
• Appendix
• References

Notes