Small area estimation for mapping local indicators

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

  • 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.


Webinar content

  • Direct and indirect estimates

  • SAE theory

  • Application of SAE models

  • 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