[ABE-L] [IASS] Webinar 4: Multiple system estimation for Population Size

[Denise Britz do Nascimento Silva]

Caros
segue convite e divulgação de webinário organizado pela IASS.
Saudações
Denise

==========================================================
Denise Britz do Nascimento Silva
IASS - International Association of Survey Statisticians - President
IBGE - Escola Nacional de Ciências Estatísticas - National School of
Statistical Sciences
SCIENCE - Sociedade para o Desenvolvimento da Pesquisa Científica



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Date: ter., 1 de dez. de 2020 às 11:36
Subject: [IASS] Webinar 4: Multiple system estimation using covariates
having missing values ...
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*IASS Webinar 4*:
*Multiple system estimation using covariates having missing values and
measurement error: estimating the size of the Māori population in New
Zealand*

Join this webinar, organised by the International Association for Survey
Statisticians!


*Date: 9 December 2020Time: 11:00 am - 12:30 pm (CET)*

*Speakers: Professor Peter van der Heijden and Professor Paul Smith*

Join this webinar, organised by the International Association for Survey
Statisticians!

*Abstract*

We investigate use of two or more linked registers, or lists, for both
population size estimation and to investigate the relationship between
variables appearing on all or only some registers. This relationship is
usually not fully known because some individuals appear in only some
registers, and some are not in any register. These two problems have been
solved simultaneously using the EM algorithm. We extend this approach to
estimate the size of the indigenous Māori population in New Zealand,
leading to several innovations: (1) the approach is extended to four
registers (including the population census), where the reporting of Māori
status differs between registers; (2) some individuals in one or more
registers have missing ethnicity, and we adapt the approach to handle this
additional missingness; (3) some registers cover subsets of the population
by design. We discuss under which assumptions such structural undercoverage
can be ignored and provide a general result; (4) we treat the Māori
indicator in each register as a variable measured with error, and embed a
latent class model in the multiple system estimation to estimate the
population size of a latent variable, interpreted as the true Māori status.
Finally, we discuss estimating the Māori population size from
administrative data only. (https://arxiv.org/abs/2007.00929
<https://mailings.isi-web.org/?nltr=MTAyOzQ1MTI7aHR0cHM6Ly9hcnhpdi5vcmcvYWJzLzIwMDcuMDA5Mjk7O2IyYzU4ZGVmMDE0Mzc3ZTQ0ZDcwMTYzMzIxN2I0MmQ0>
)

The moderator for the webinar will be *James Chipperfield* (IASS, Vice
President). There will be time for questions. The webinar will be recorded
and made available on the IASS web site.

*Registration*

Please register for IASS Webinar 4 at:
https://attendee.gotowebinar.com/register/6663371828556345616
<https://mailings.isi-web.org/?nltr=MTAyOzQ1MTI7aHR0cHM6Ly9hdHRlbmRlZS5nb3Rvd2ViaW5hci5jb20vcmVnaXN0ZXIvNjY2MzM3MTgyODU1NjM0NTYxNjs7OGRlNTUwNTYyZjZhZmUwMjg0YzE4Y2FiMDZjM2NjNjg%3D>

After registering, you will receive a confirmation email containing
information about joining the webinar.

*Biographies of the speakers*

Peter van der Heijden is Professor of Statistics in the Department of
Methodology and Statistics at the faculty of Social and Behavioural
Sciences at Utrecht University, and Professor of Social Statistics at the
Southampton Statistical Science of the University of Southampton. In
Utrecht he is the leader of the focus area of Applied Data Science.

Paul Smith is Professor of Official Statistics in the Dept of Social
Statistics and Demography at the University of Southampton and works
closely with the Office for National Statistics on a range of projects. He
is just finishing a term as Discussion Papers Editor for the Journals of
the Royal Statistical Society.
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