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pgen/pgbilzeit: Amount Of Education Or Training In Years
en | de | |
---|---|---|
-1 | [-1] No answer | [-1] No answer |
-2 | [-2] Does not apply | [-2] Does not apply |
-7 | [-7] Only available in less restricted edition | [-7] Only available in less restricted edition |
amount of education or training in years
English label: Amount Of Education Or Training In Years
German label: Dauer der Ausbildung, in Jahren
pgen – Generated Individual Data
Analysis Unit : Individual
Dataset Type: Generated Data
Period: multiple
Attachments:
Study: SOEP-Core
The following statements describe the standard computation for schooling. The school years and the additional vocational training are added together.
As can be seen, the assignment table are not very differentiated. For example, special schools for health care professions and other kinds of specialized schools are all included in the “technical school” label. However, in Germany, this assignment is the most commonly used one when earnings functions based on human capital theory are estimated.
schooling | years |
---|---|
no degree | 7 |
lower school degree | 9 |
intermediary school | 10 |
degree for a professional college | 12 |
high school degree | 13 |
other | 10 |
additional occupational training (includes universities) | years |
---|---|
apprenticeship | 1.5 |
technical schools (incl. health) | 2 |
civil servants apprenticeship | 1.5 |
higher technical college | 3 |
university degree | 5 |
Measure | Value |
---|---|
Min. | 7.0 |
1st Qu. | 10.5 |
Median | 11.5 |
Mean | 11.840909957885742 |
3rd Qu. | 13.0 |
Max. | 18.0 |
valid | 753585 |
invalid | 46627 |
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.