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pl/plc0313_h: [de] Abschluss Riester-Rente [harmonisiert]
| en | de | |
|---|---|---|
| 1 | [1] [de] Ja, Riester-Rente | [1] Ja, Riester-Rente |
| -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: [de] Abschluss Riester-Rente [harmonisiert]
German label: Abschluss Riester-Rente [harmonisiert]
pl – Data from individual questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
Step 1: The variable plc0313_h is replaced by the variable plc0313_v2 for the years 2012, 2013, 2015, 2017, 2018, 2020 and 2022. Step 2: The variable plc0313_v1 is recoded (1=1) (2=-2) for the years 2004, 2006, 2007 and 2010 and subsequently integrated into the harmonized variable plc0313_h.
- Do you have a Riester or Rürup pension plan? - Yes, Riester pension plan
- Do you have a Riester or Rürup pension plan? - Yes, Riester pension plan
- Do you have a Riester or Rürup pension plan? - Yes, Riester pension plan
- Do you have a Riester or Rürup pension plan? - Yes, Riester pension plan
- Do you have a Riester or Rürup pension plan? - Yes, Riester pension plan
| Measure | Value |
|---|---|
| valid | 47892 |
| invalid | 744035 |
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.