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hl/hlc0113_v2: [de] Abzahlung Kredite [2011-2022]
en | de | |
---|---|---|
1 | [1] Yes | [1] Ja |
2 | [2] No | [2] Nein |
-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: [de] Abzahlung Kredite [2011-2022]
German label: Abzahlung Kredite [2011-2022]
hl – Data from household questionnaires (long)
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- Are you or is someone in your household currently paying back loans and interest on loans that you took out for large purchases or other expenditures?
- Are you or any other member of your household currently required to make repayments and interest payments on loans that you have taken out for purchases or other expenses?
- Are you or is someone in your household currently paying back loans and interest on loans that you took out for large purchases or other expenditures?
- Are you or is someone in your household currently paying back loans and interest on loans that you took out for large purchases or other expenditures?
- Are you or any other member of your household currently required to make repayments and interest payments on loans that you have taken out for purchases or other expenses?
Measure | Value |
---|---|
valid | 200819 |
invalid | 248455 |
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.