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5,411 to 5,420 of 5,474 Results
Unknown - 514.2 KB - MD5: 7eb7a6c64e9ce8860e77aef322af1548
DataSPSS
Core data file - compressed SPSS format - 351 Variables, 1948 Observations - English
Adobe PDF - 768.5 KB - MD5: 59ab88e8da8d259b9e698c8e5b86034e
DocumentationQuestionnaire
Questionnaire German
Adobe PDF - 588.5 KB - MD5: 3abd07cc44d0a3932c0e180ffd10e0e0
DocumentationQuestionnaire
Questionnaire English
Tab-Delimited - 90.1 KB - MD5: e1892697eaf94a106224e3ccd6db4189
Documentation
Variable identifiers and descriptions - machine-readable German
Tab-Delimited - 70.2 KB - MD5: 0453cc414c0ab3677ada1039cc0212bd
Documentation
Variable identifiers and descriptions - machine-readable English
Tabular Data - 2.1 MB - 37 Variables, 19108 Observations - UNF:6:o2BkmacVGc4SKuFIevv/SA==
DataSTATA
Core data file - Stata format - 37 variables, 19108 observations
Tabular Data - 2.1 MB - 37 Variables, 19108 Observations - UNF:6:o2BkmacVGc4SKuFIevv/SA==
Data
Unknown - 342.1 KB - MD5: 35e7aa42fbc3e28461633d6c08f95a32
DataSPSS
Core data file - compressed SPSS format - 37 variables, 19108 observations
Tab-Delimited - 16.8 KB - MD5: a34280257054454d057a395fdb189fb4
Documentation
Variable identifiers and descriptions - machine-readable
Feb 19, 2019 - Statistik Austria
Göllner, Tobias; Klotz, Johannes, 2019, "Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.", https://doi.org/10.11587/ZOOBKE, AUSSDA, V1
This SAS code extracts data from EU-SILC User Database (UDB) longitudinal files and edits it such that a file is produced that can be further used for differential mortality analyses. Information from the original D, R, H and P files is merged per person and possibly pooled over several longitudinal data releases. Vital status information is extrac...
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