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pl/plc0029: Additional Regular Payment
en | de | |
---|---|---|
1 | [1] Yes | [1] Ja |
-1 | [-1] No answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Implausible value | [-3] unplausibler Wert |
-4 | [-4] Inadmissable multiple response | [-4] unzulaessige Mehrfachantwort |
-5 | [-5] Not included in this version of the questionnaire | [-5] in Fragebogenversion nicht enthalten |
-6 | [-6] Version of questionnaire with modified filtering | [-6] Fragebogenversion mit geaenderter Filterfuehrung |
-7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschraenkter Edition verfuegbar |
-8 | [-8] Question this year not part of survey | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: Additional Regular Payment
German label: Funktionszulagen oder persoenliche Zulagen
pl – Data from individual questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- Have you received any of the following types of premiums or bonuses during the last month? - Supplement for added responsibilities (Funktionszulage / persönliche Zulage)
- Have you received any of the following types of premiums or bonuses during the last month? - Supplement for added responsibilities (Funktionszulage / persönliche Zulage)
- Did you receive special payments or allowances/bonuses of the following type in the last month? - Position-related bonuses or personal bonuses
- Have you received any of the following types of premiums or bonuses during the last month? - Supplement for added responsibilities (Funktionszulage / persönliche Zulage)
- Have you received any of the following types of supplements or bonuses during the last month? - Supplement for added responsibilities (Funktionszulage / persönliche Zulage)
Measure | Value |
---|---|
valid | 4499 |
invalid | 787428 |
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.