Regression analysis for ordinal longitudinal survey data with outcome subject to nonresponse: CS11-613/99-6E-PDF
part II /
"One of the main objectives of longitudinal analysis is to determine the changes that take place in households and families or individuals over time. One is interested to examine the effects of the associated covariates on one or more suitable response variables, after taking the longitudinal correlations into account. In this paper, a multivariate approach was developed to analyse ordinal polytomous longitudinal survey data, such as SLID data collected by Statistics Canada. This methodology has been applied to the SLID data to examine the effects of covariates such as age sex, marital status, race, education level and province of residence on the "jobless spell" response variable. The longitudinal correlations between responses for 1993 and 1994 were modelled following Lipsitz and Fitzmaurice (1996) and estimated following Sutradhar and Das (1999)"--Abstract.
|Department/Agency||Statistics Canada. Methodology Branch.|
|Title||Regression analysis for ordinal longitudinal survey data with outcome subject to nonresponse|
|Subtitle||part II /|
|Series Title||Working paper ;|
|Publication Type||Series - View Master Record|
|Electronic Document|| |
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|Note||"SSMD-99-006 E." "Revised: March 9, 1999." Digitized edition from print [produced by Statistics Canada].|
|Number of Pages||29 p.|
|Departmental Catalogue Number||11-613E|
|Subject Terms||Surveys, Methodology|
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