Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18457
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dc.creatorSpiess, Martin-
dc.date2006-
dc.date.accessioned2013-10-16T07:00:03Z-
dc.date.available2013-10-16T07:00:03Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/18457-
dc.identifierppn:510323693-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/18457-
dc.descriptionThis article proposes an estimation approach for panel models with mixed continuous and ordered categorical outcomes based on generalized estimating equations for the mean and pseudo-score equations for the covariance parameters. A numerical study suggests that efficiency can be gained as concerns the mean parameter estimators by using individual covariance matrices in the estimating equations for the mean parameters. The approach is applied to estimate the returns to occupational qualification in terms of income and perceived job security in a nine-year period based on the German Socio-Economic Panel (SOEP). To compensate for missing data, a combined multiple imputation/weighting approach is adopted.-
dc.languageeng-
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlin-
dc.relationDIW-Diskussionspapiere 564-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectddc:330-
dc.subjectgeneralized estimating equations-
dc.subjectmean and covariance model-
dc.subjectmultiple imputation-
dc.subjectpseudo-score equations-
dc.subjectstatus inconsistency-
dc.subjectweighting-
dc.titleOn the Returns to Occupational Qualification in Terms of Subjective and Objective Variables: A GEE-type Approach to the Estimation of Two-Equation Panel Models-
dc.typedoc-type:workingPaper-
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