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pl/plc0457: Gross Earning Prev. Months, Non-response
en | de | |
---|---|---|
0 | [0] [de] Euro | [0] Euro |
1 | [1] [de] 0 - 1.000 Euro | [1] 0 - 1.000 Euro |
2 | [2] [de] 1.001 - 1.800 Euro | [2] 1.001 - 1.800 Euro |
3 | [3] [de] 1.801 - 2.500 Euro | [3] 1.801 - 2.500 Euro |
4 | [4] [de] 2.501 - 3.500 Euro | [4] 2.501 - 3.500 Euro |
5 | [5] [de] 3.501 Euro und mehr | [5] 3.501 Euro und mehr |
-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 |
Gross Earning Prev. Months, Non-response
English label: Gross Earning Prev. Months, Non-response
German label: Bruttoverdienst Vormonat KA
pl – Data from individual questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- What did you earn from your work last month? Please state both: gross income, which means income before deduction of taxes and social security and net income, which means income after deduction of taxes, social security, and unemployment and health insurance. - [de] Bitte helfen Sie uns eindeutige Daten zu erstellen. Wie hoch war Ihr Bruttoverdienst im letzten Monat?
Measure | Value |
---|---|
valid | 1022 |
invalid | 790905 |
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.