Presenter(s): Monica Pratesi, University of Pisa
Date: 29 April 2020
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
To understand the need to to break down the values of the poverty indicators to produce detailed geographical representations of poverty
To understand the computation of direct and indirect estimates for unplanned domains
To be familiar with Small Area Estimation methods both at the theoretical and empirical level
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.
Direct and indirect estimates
Application of SAE models
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.
Recording of the webinar