[ABE-L] Seminário ENCE - Prof. Danny Pfeffermann

[Leandro Marino]

Oi Pedro,

a gravação desse seminário ficará disponível?

Um abraço,
Leandro Marino



On Thu, 31 Aug 2023 at 08:15, Pedro Luis do Nascimento Silva <
pedronsilva em gmail.com> wrote:

> Caros redistas,
>
> Amanhã, dia 1 de setembro, o Prof. Danny Pfeffermann (Universidade de
> Southampton e Univ. Hebraica de Jerusalém) fará na ENCE um seminário
> aberto ao público. O Prof. Danny é um grande especialista no uso de modelos
> para lidar com questões complexas de amostragem, e o evento é uma
> oportunidade única para conhecer o professor e seu trabalho de pesquisa
> mais recente.
>
> Mais informações conforme a chamada publicada aqui>
>
> https://ence.ibge.gov.br/index.php/noticias/seminarios-e-defesas/1812-seminario-statistical-inference-under-nonignorable-sampling-and-nonresponse-an-empirical-likelihood-approach
>
> Statistical Inference Under Nonignorable Sampling and Nonresponse – An
> Empirical Likelihood Approach
>
> Data: *01/09/2023 – sexta-feira*
>
> Horário:* 10:30 horas.*
>
> Local: *Rua André Cavalcanti, 106, sala 306 (Auditório) – ENCE
> <https://ibge.webex.com/ibge/j.php?MTID=m45b8a028204c1e85bacfc743e4aa7c6b>*
> *
> <https://ibge.webex.com/ibge/j.php?MTID=m1cfc79a1cc66bdb8a00c68840505a261>*
>
> Transmissão ao vivo: *https://ibge.webex.com/ibge/j.php?MTID=m18a729d822d02605ca8e93d5e7c1fb5e
> <https://ibge.webex.com/ibge/j.php?MTID=m18a729d822d02605ca8e93d5e7c1fb5e> *
>
> Senha de acesso: *mYpTgcZP756*
>
> *Resumo*
>
> When the sample selection probabilities and/or the response probabilities
> are related to a model outcome variable even after conditioning on the
> model covariates, the model holding for the observed data is different from
> the model holding in the population, resulting in biased inference if not
> accounted for properly. Accounting for sample selection bias is relatively
> simple because the selection probabilities are usually known. Accounting
> for nonignorable non-response is much harder since the response
> probabilities are generally unknown. In this article, we develop a new
> approach for modelling complex survey data, which accounts simultaneously
> for non-ignorable sampling and non-response. Our approach combines the
> nonparametric empirical likelihood with a parametric model for the response
> probabilities, which contains the outcome variable as one of the
> covariates. We illustrate the robustness of the approach and propose ways
> of testing the underlying model. Combining the model holding for the
> responding units with the model for the response probabilities, enables
> extracting the model holding for the missing data and imputing them. We
> propose ways of testing the underlying model holding for the respondents’
> data. Simulation results illustrate the good performance of the approach in
> terms of parameter estimation and imputation. We conclude with an
> application to the family expenditure survey in Israel.
>
> *Informações:*
>
> Tel.: 2142-4696 ou 2142-4691 e-mail: secretaria.cpgence em ibge.gov.br
>
> *A participação é aberta a todos os docentes, alunos, funcionários do IBGE
> e ao público em geral.*
>
> _______________________________________________
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>
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