Synthetic Graphical Modelling of Binary Panel Data Subject to Non-response A Case Study

Li-Chun Zhang
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Li-Chun Zhang: Statistics Norway, https://www.ssb.no/en/forskning/ansatte

Discussion Papers from Statistics Norway, Research Department

Abstract: The present paper applies synthetic graphical modelling to the binary panel data of the Muscatine Coronary Risk Factor Study, where the observations are subject to non-response. The methodology combines the techniques of the graphical and generalized linear models. The purpose is to demonstrate the various aspects of the modelling approach than to obtain accurate empirical knowledge on the matter dealt with. We emphasize the flexibility, interpretation, and sensitivity (or robustness) of the models proposed.

Keywords: Panel design; non-response; graphical model; GLM (search for similar items in EconPapers)
Date: 1998-04
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Persistent link: https://EconPapers.repec.org/RePEc:ssb:dispap:220

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