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

[dalton.andrade em ufsc.br]

Pedro, 

 Será possível termos acesso a gravação? 

 Obrigado, 

Dalton.  

 Em 31/08/2023 8:14, Pedro Luis do Nascimento Silva escreveu:

> 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
> 
> Transmissão ao vivo: 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. 
> 
> _______________________________________________
> abe mailing list
> abe em lists.ime.usp.br
> https://lists.ime.usp.br/listinfo/abe
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20230901/f0d0e4ac/attachment-0001.htm>