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inno/iverd14a_1: Earning more: I would earn more gross per month than in my current job
en | de | |
---|---|---|
1 | [1] Between 0 and 50 Euro | [1] Zwischen 0 und 50 Euro |
2 | [2] Between 50 and 100 Euro | [2] Zwischen 50 und 100 Euro |
3 | [3] Between 100 and 200 Euro | [3] Zwischen 100 und 200 Euro |
4 | [4] Between 200 and 300 Euro | [4] Zwischen 200 und 300 Euro |
5 | [5] Between 300 and 400 Euro | [5] Zwischen 300 und 400 Euro |
6 | [6] Between 400 and 500 Euro | [6] Zwischen 400 und 500 Euro |
7 | [7] Between 500 and 750 Euro | [7] Zwischen 500 und 750 Euro |
8 | [8] Between 750 and 1000 Euro | [8] Zwischen 750 und 1000 Euro |
9 | [9] Between 1000 and 1500 Euro | [9] Zwischen 1000 und 1500 Euro |
10 | [10] Between 1500 and 2000 Euro | [10] Zwischen 1500 und 2000 Euro |
11 | [11] Between 2000 and 3000 Euro | [11] Zwischen 2000 und 3000 Euro |
12 | [12] More than 3000 Euro | [12] Mehr als 3000 Euro |
-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 |
No concept available.
English label: Earning more: I would earn more gross per month than in my current job
German label: Verdienst mehr: Ich würde monatlich brutto mehr verdienen als im jetzigen Job
inno – Variables from the Innovation Modules
Analysis Unit : Individual
Dataset Type: Original
Period: 0
Attachments:
Study: SOEP-IS
Measure | Value |
---|---|
valid | 446 |
invalid | 46926 |
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.