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bkpgen/siops08_20: Last reached SIOPS value (Std. Internat. Occ. Prestige, Treiman, on ISCO-08)
| en | de | |
|---|---|---|
| -1 | [-1] No answer | [-1] No answer |
| -2 | [-2] Does not apply | [-2] Does not apply |
| -3 | [-3] Answer improbable | [-3] Answer improbable |
| -4 | [-4] Inadmissible multiple response | [-4] Inadmissible multiple response |
| -5 | [-5] Not included in this version of the questionnaire | [-5] Not included in this version of the questionnaire |
| -6 | [-6] Version of questionnaire with modified filtering | [-6] Version of questionnaire with modified filtering |
| -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 |
No concept available.
English label: Last reached SIOPS value (Std. Internat. Occ. Prestige, Treiman, on ISCO-08)
German label: letzter erreichter SIOPS-Wert (Std. Internat. Occ. Prestige, Treiman, m ISCO-08)
bkpgen – Generated individual data 2020
Analysis Unit : Individual
Dataset Type: Generated Data
Period: 2020
Study: SOEP-Core
This variable gives the occupational prestige score index for all employed persons. It is derived from the ISCO-08 code of the current occupation using using the Stata ado derivescores by Daniel Bela and Knut Wenzig which itself is based on SPSS algorithms from Ganzeboom and Treimann (2010).
Please also see occupational prestige scores (MPS), occupational status (ISEI), and occupational class (EGP).
| Measure | Value |
|---|---|
| Min. | 12.0 |
| 1st Qu. | 32.0 |
| Median | 44.0 |
| Mean | 43.346641540527344 |
| 3rd Qu. | 51.0 |
| Max. | 78.16000366210938 |
| valid | 20470 |
| invalid | 10613 |
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.