Power-linear models for incomplete contingency tables with nonignorable non-responses
- Authors
- Kim, Seongyoung; Park, Yousung
- Issue Date
- 2-11월-2015
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- boundary solution; correlation; generalized linear model; nonignorable non-responses; power link functions
- Citation
- STATISTICS, v.49, no.6, pp.1189 - 1203
- Indexed
- SCIE
SCOPUS
- Journal Title
- STATISTICS
- Volume
- 49
- Number
- 6
- Start Page
- 1189
- End Page
- 1203
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/91939
- DOI
- 10.1080/02331888.2013.869595
- ISSN
- 0233-1888
- Abstract
- For categorical data exhibiting nonignorable non-responses, it is well known that maximum likelihood (ML) estimates with a boundary solution are implausible and do not provide a perfect fit to the observed data even for saturated models. We provide the conditions under which ML estimates for the generalized linear model (GLM) with the usual log/logit link function have a boundary solution. These conditions introduce a new GLM with appropriately defined power link functions where its ML estimates resolve the problems arising from a boundary solution and offer useful statistics for identifying the non-response mechanism. This model is applied to a real dataset and compared with Bayesian models.
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Collections - College of Political Science & Economics > Department of Statistics > 1. Journal Articles
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