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Some applications of panel data models in small area estimation

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  • Vilma Nekrašaitė-Liegė

Abstract

This study uses a real population from Statistics Lithuania to investigate the performance of different types of estimation strategies. The estimation strategy is a combination of sampling design and estimation design. The sampling designs include equal probability design (SRS) and unequal probability designs (stratified SRS and model-based sampling designs). Design-based direct Horvitz- Thompson, indirect model-assisted GREG estimator and indirect model-based estimator are used to estimate the totals in small area estimation. The underlying panel-type models (linear fixed-effects type or linear random-effects type) are examined in both stages of estimation strategies: sample design and construction of estimators.

Suggested Citation

  • Vilma Nekrašaitė-Liegė, 2011. "Some applications of panel data models in small area estimation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(2), pages 265-280, October.
    • Handle: RePEc:csb:stintr:v:12:y:2011:i:2:p:265-280
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    References listed on IDEAS

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    1. Desislava Nedyalkova & Yves Tillé, 2008. "Optimal sampling and estimation strategies under the linear model," Biometrika, Biometrika Trust, vol. 95(3), pages 521-537.
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