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Sae Education Challenges to Academics and NSI

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  • Gołata Elżbieta

    (Poznań University of Economics, ; Poznań, ; Poland)

Abstract

The aim of the paper is to present some experiences in teaching Small Area Estimation (SAE). SAE education experiences and challenges are analysed from the academic side and from the NSI side. An attempt was undertaken to discuss SAE issues in a wider perspective of teaching statistics. In particular, the topics refer to Polish conditions, but they are presented against the background of selected international experiences and practices. Information comes from a special inquiry - a survey conducted among employees of statistical offices and academics from universities involved in SAE research. A further issue is inclusion of SAE in the EMOS project (European Master in Official Statistics). The survey is extended with information collected by monitoring of trainings and projects organized by the leading centres dealing with SAE. The results obtained are related to a similar survey within Eurostat project: ESSnet on Small Area Estimation, which was conducted in 2010. The study includes interest in learning and the need to implement SAE methodology, a range of subjects taught as well as a range of applications, forms of training, type of courses, software used and teaching methods. In particular, it intends to answer how strong the interest in small area estimation is, what the demand for practical and theoretical knowledge in the field is and what the recommendations for universities and statistical institutes are.

Suggested Citation

  • Gołata Elżbieta, 2015. "Sae Education Challenges to Academics and NSI," Statistics in Transition New Series, Statistics Poland, vol. 16(4), pages 611-630, December.
    • Handle: RePEc:vrs:stintr:v:16:y:2015:i:4:p:611-630:n:6
    DOI: 10.21307/stattrans-2015-036
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    References listed on IDEAS

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    1. Ray Chambers & Hukum Chandra & Nicola Salvati & Nikos Tzavidis, 2014. "Outlier robust small area estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 47-69, January.
    2. Datta, Gauri S. & Hall, Peter & Mandal, Abhyuday, 2011. "Model Selection by Testing for the Presence of Small-Area Effects, and Application to Area-Level Data," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 362-374.
    3. Li‐Chun Zhang, 2012. "Topics of statistical theory for register‐based statistics and data integration," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(1), pages 41-63, February.
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