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SAE teaching using simulations

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  • Ralf Münnich

  • Jan Pablo Burgard

Abstract

The increasing interest in applying small area estimation methods urges the needs for training in small area estimation. To better understand the behaviour of small area estimators in practice, simulations are a feasible way for evaluating and teaching properties of the estimators of interest. By designing such simulation studies, students gain a deeper understanding of small area estimation methods. Thus, we encourage to use appropriate simulations as an additional interactive tool in teaching small area estimation methods.

Suggested Citation

  • Ralf Münnich & Jan Pablo Burgard, 2015. "SAE teaching using simulations," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(4), pages 603-610, December.
    • Handle: RePEc:csb:stintr:v:16:y:2015:i:4:p:603-610
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    References listed on IDEAS

    as
    1. Ralf Münnich & Jan Burgard & Martin Vogt, 2013. "Small Area-Statistik: Methoden und Anwendungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 149-191, March.
    2. Jiming Jiang & P. Lahiri, 2006. "Mixed model prediction and small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-96, June.
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