[ABE-L] Curso de extensão GRATUITO na ENCE

[Pedro Luis do Nascimento Silva]

Caros redistas,

segue divulgação de curso de extensão GRATUITO que será realizado na ENCE
na próxima semana.

Saudações, Pedro.

===
*Curso de extensão na ENCE: Big Data in official statistics*
Professor: *Jan van den Brakel* (Methodology Department, Statistics
Netherlands, and Department of Quantitative Economics, Maastricht
University)

Idioma: Inglês

Data: 22 de maio de 2019

Horário: 14:00 às 17:30

Carga horária: 3 horas

Local: Auditório – Sala 306

Vagas: 50

Inscrições: de 8 a 16 de maio, na Secretaria da ENCE ou por e-mail para
<grc em ibge.gov.br.>grc em ibge.gov.br.

Pré-requisitos: Conhecimentos de modelagem estatística e métodos para
pesquisas e levantamentos.

Conteúdo

National statistical institutes are under increasing pressure to reduce
administration costs and response burden for the production of official
statistics. This could potentially be accomplished by using large data sets
- so called big data. However, there are problems that must be addressed
when using such data sources for the production of official statistics.

In these sessions, two different research lines will be presented on how
big data sources can be used in the production of official statistics. They
will be illustrated with research results from projects conducted at
Statistics Netherlands.

The first approach combines big data sources with sample data in a
model-based inference approach. This implies the use of big-data sources as
covariates in models for small area estimation, for example in an area
level model where cross-sectional correlation between areas are taken into
account to improve the effective sample size of the domains.

The second approach employs big data as a primary data source for the
compilation of official statistics. This can be considered if a big data
source covers the intended target population and does not suffer too much
from under- and over-coverage, e.g. the use of satellite and areal images
for deriving statistical information on land use. In most cases, however,
adjustments for selection bias are required.

-- 
Pedro Luis do Nascimento Silva
IBGE - Escola Nacional de Ciências Estatísticas
IBGE - National School of Statistical Sciences
Phone: +55 21 21424957
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