Affiliations: Statistics Netherlands, The Hague, The Netherlands
Corresponding author: Johan van Rooijen, Statistics Netherlands, The Hague, The Netherlands. E-mail:[email protected]
Abstract: Micro-integration brings together records from different
micro-datasets and subsequently resolves data inconsistencies. From a
National Statistical Institute's point of view, micro-integration is a means
of improving the quality, compatibility and scope of its datasets.
Statistics Netherlands has developed various micro-integration processes.
This paper describes the micro-integration process, and development thereof,
which underlies a dataset representing jobs which were terminated due to
lay-off. The input consists of a dataset representing layoff permits issued
by the Employee Insurance Agency. That dataset is not compatible with
available datasets on jobs because the statistical unit is person instead of
job. Moreover, it is flawed by a substantial representation error in the
sense that eight percent of the employees for whom a lay-off permit is
obtained are actually not laid off. The micro-integration process transforms
the dataset on lay-off permits into a dataset on terminated jobs. The latter
is compatible with other datasets containing job characteristics. The debate
on flexibilisation of the Dutch labour market as well as the huge increase
in lay-offs during the financial crisis have underlined the need for data on
involuntary job termination. As such, the dataset on terminated jobs
unquestionably adds value to Statistics Netherlands' stock of information.
Keywords: Registers, register-based statistics, data processing, system of social statistical datasets, lay-off, job termination