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pgen/pgisei88: Last Reached Isei Value (International Socio-Economic Index)
en | de | |
---|---|---|
-1 | [-1] No answer | [-1] No answer |
-2 | [-2] Does not apply | [-2] Does not apply |
-3 | [-3] Not valid | [-3] Not valid |
-4 | [-4] Forbidden Multiple Response | [-4] Forbidden Multiple Response |
-5 | [-5] Not Included In Questionnaire Version | [-5] Not Included In Questionnaire Version |
-6 | [-6] Questionnaire Version With Modified Filter | [-6] Questionnaire Version With Modified Filter |
-7 | [-7] Only available in less restricted edition | [-7] Only available in less restricted edition |
-8 | [-8] Question not part of the survey program this year | [-8] Question not part of the survey program this year |
English label: Last Reached Isei Value (International Socio-Economic Index)
German label: letzter erreichter ISEI-Wert (International Socio-Economic Index)
pgen – Generated Individual Data
Analysis Unit : Individual
Dataset Type: Generated Data
Period: multiple
Attachments:
Study: SOEP-Core
This variable reflects the Standard International Socio-Economic Index of Occupational Status for all employed persons. The ISEI Index was developed in 1992 by Ganzeboom, De Graaf, Treiman, and De Leew based on information about income, education, and occupation. Technically, ISEI was created by scaling the ISCO-88 classification. The values for the variable range between 16 and 90. In contrast to the prestige scores of Ganzeboom and Treiman (1996) and Wegener (1988), ISEI is a measure of socio-economic status.
It is derived from the ISCO-88 code of the current occupation using the Stata ado iskoisei by John Hendrickx which itself is based on Harry Gaanzeboom's SPSS algorithms.
Also available: occupational prestige scores (SIOPS, MPS) and occupational class (EGP).
Measure | Value |
---|---|
Min. | 16.0 |
1st Qu. | 30.0 |
Median | 40.0 |
Mean | 43.72475051879883 |
3rd Qu. | 54.0 |
Max. | 90.0 |
valid | 475873 |
invalid | 324339 |
Codes of related variables with the same concept
This table provides you with an overview of label definitions across related variables to identify changes over time in longitudinal variables. The first number indicates the value code, the second number (in brackets) represents the frequency in the data. Please note that labels are simplified and values with frequency = 0 are hidden.