School Leaver Survey 2016 on Education-Work Transition
by C.B.S. Centraal Bureau voor de Statistiek / DANS Data Station Social Sciences and Humanities Collection·Updated 8mo ago
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Description
Microdata from the 2016 School Leaver Survey (SVO), conducted by Statistics Netherlands (CBS) for the Ministry of Education, Culture and Science. It examines the transition from school to work or further education for graduates and early leavers from secondary vocational (MBO) and pre-university secondary (VO) education. The survey aims to monitor the alignment between completed education and subsequent employment.
Use Cases
Analyze the alignment between completed VO or MBO education and the function performed in subsequent employment.
Investigate patterns of early school leaving versus graduation and their impact on work or further study outcomes.
Monitor the effect of the MBO macro-efficiency law by tracking education-to-job transition metrics for policy evaluation.
Strengths
Data is collected by the national statistical office (CBS) in collaboration with the Research Centre for Education and the Labour Market (ROA), ensuring authoritative methodology.
The dataset provides microdata for detailed individual-level analysis of school leavers.
It is part of a specific survey series (SVO) designed to monitor policy impacts over time.
Limitations
The specific variable list, column count, and sample size (row count) are not provided in the input.
The dataset is from 2016, which may limit analysis of current labor market conditions.
The description notes this file differs from the full microdata file available for statistical research, potentially limiting scope.
Provenance
Source
Statistics Netherlands (CBS) commissioned by the Dutch Ministry of Education, Culture and Science (OCW).
Collection Method
School Leaver Survey (SVO) collecting data on graduates and early leavers from VO and MBO education.
Time Range
2016
Freshness
null
Geography
Netherlands
This DANS-Easy file differs from the full SVO 2017 microdata file available under certain conditions for statistical and scientific research. Contact [email protected] for further information on microdata access.