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bgh/bgh7005: Ausgabenueberschuss weiss nicht
en | de | |
---|---|---|
1 | [1] Do Not Know | [1] Weiss nicht |
-1 | [-1] No Answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Answer improbable | [-3] nicht valide |
-4 | [-4] Inadmissible 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 eingeschränkter Edition verfügbar |
English label: Ausgabenueberschuss weiss nicht
German label: Ausgabenueberschuss weiss nicht
bgh – Data from household questionnaire 2016
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: 2016
Study: SOEP-Core
- Overall, were your household’s income and expenditures last month equal, meaning that you were not able to put away savings but you also didn’t have to go into debt or use money out of savings? or was your income higher than your expenditures, meaning that you were able to put away savings? or were your expenditures higher than your income, meaning that you had to go into debt or use money out of savings? - Expenditures were higher than income, resulting in a deficit..don't know
- Overall, were your household’s income and expenditures last month equal, meaning that you were not able to put away savings but you also didn’t have to go into debt or use money out of savings? or was your income higher than your expenditures, meaning that you were able to put away savings? or were your expenditures higher than your income, meaning that you had to go into debt or use money out of savings? - Expenditures were higher than income, resulting in a deficit..don't know
Measure | Value |
---|---|
valid | 195 |
invalid | 17580 |
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.