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bjpkal/bjp1a02: Employed Full-Time months in 2018
No concept available.
English label: Employed Full-Time months in 2018
German label: Voll erwerbstätig N-Monate 2018
bjpkal – Data from the monthly calendar from the individual questionnaire 2019
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2019
Study: SOEP-Core
- Please go through the list and indicate for all 12 months which activity or status applies to you in the respective month. - employed full-time (including full-time ABM / SAM job creation measures)
- And now think back on the entire last year, that is, 2016. We have provided a kind of calendar below. Listed on the left are various employment characteristics that may have applied to you last year. Please go through the various months and check all the months in which you were employed, unemployed, etc. - employed full-time (including full-time ABM / SAM job creation measures)
- And now think back on the entire last year, that is, 2016. We have provided a kind of calendar below. Listed on the left are various employment characteristics that may have applied to you last year. Please go through the various months and check all the months in which you were employed, unemployed, etc. - employed full-time (including full-time ABM / SAM job creation measures)
- And now think back on the entire last year, that is, 2016. We have provided a kind of calendar below. Listed on the left are various employment characteristics that may have applied to you last year. Please go through the various months and check all the months in which you were employed, unemployed, etc. - employed full-time (including full-time ABM / SAM job creation measures)
| Measure | Value |
|---|---|
| Min. | 1.0 |
| 1st Qu. | 12.0 |
| Median | 12.0 |
| Mean | 11.052293502429384 |
| 3rd Qu. | 12.0 |
| Max. | 12.0 |
| valid | 12143 |
| invalid | 17762 |
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.