Author: Trond Pedersen

Random population sub-selections are now possible through the new command sample.

It will now be possible to convert continuous values into percentile values by using the new function quantile(). Thus, all values contained by a specific variable will be divided and placed chronologically into equally large groups. Finally, the variable values will be replaced by the respective percentile values.

Statistics Norway have added 17 new income variables to the variable pool of microdata.no, in addition to a population variable measuring the origin of the personal identification number: National identification number, temporary identification number (D-number), invalid identification number. This variable may be used for selection purposes.

Through microdata.no, it is possible to extract/import and work with data on event format. This is the built-in raw format where each unit may be represented with several observations/records associated with change events.

The microdata.no User Guide is now available in English.

The User Guide is updated per April 2., 2019. Information about panel data analysis and new functionality/commands has been added (see Appendix A for updated command list). More illustrations is also added.

As one of two finalists in The Norwegian Data Protection Authority’s (DPA) competition for best built-in confidentiality, the solution developed by Norwegian Centre for Research Data (NSD) and Statistics Norway (SSB) won the first price.

NSD and Statistics Norway will continually publish the latest news concerning the microdata.no service on Twitter. By following @microdataNO, it is possible to stay updated and receive notifications when something new has happened.

Previously, one had to wait until the complete script was fully executed in order to see the results. This new solution makes it possible to view the result of each command-expression continually as they are automatically executed. This makes it easier to see how far the execution has come, and how much is left.

It is now possible to perform panel data regression analysis through microdata.no. Panel data are datasets where each unit (individual) takes values for all variables and all measurement dates specified in the import-panel expression.