Presenter(s): Monica Pratesi, University of Pisa
e-mail(s): monica.pratesi@unipi.it
Date: 29 April 2020
Webinar aims
The webinar aims to introduce the main Small Area Estimation methods. The growing demand for more detailed data than those available from official statistics has led to an extensive development of these methods. The webinar focuses on methodological considerations, practical application of SAE methods and emerging directions of future developments.
Webinar learning outcomes
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To understand the need to to break down the values of the poverty indicators to produce detailed geographical representations of poverty
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To understand the computation of direct and indirect estimates for unplanned domains
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To be familiar with Small Area Estimation methods both at the theoretical and empirical level
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To become familiar with the problems that arise in the application of SAE models and in the definition of the statistical quality of the estimates.
Webinar content
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Direct and indirect estimates
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SAE theory
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Application of SAE models
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Estimates quality
Difficulty level
Introductory
Prerequisites for the webinar
Basic understanding of survey sampling and mixed effects models.
Further reading and resources
Pratesi, M. (ed.). (2016). Analysis of poverty data by small area estimation. John Wiley & Sons.
Rao, J.N.K. and Molina, I. (2015). Small Area Estimation. John Wiley & Sons.
Presentation material
Presentation Material Webinar Small Area Estimation
Recording of the webinar
Recording of the Webinar Small Area Estimation