News and information
Data on elections are now included in microdata.no. For the first time ever, you may match individual voting behavior with a wide range of background variables without any form of application.
How big is the economic inequality in Norway? Has this changed in recent years? Are there geographical differences? Such things can now be analyzed by calculating Gini coefficient values in microdata.no.
Until now, it has only been possible to use robust and cluster estimation on ordinary linear regressions in microdata.no. It will now be possible to do this for all types of regressions found in the analysis system, including logit, probit, multinomial logit, and linear panel regressions.
How do the student loans effect our behaviour? What effects our use of student loans? The new release of microdata.no offers data on student loans and grants for you to use as a dependent or independent variable, for instance merged with new data on results from primary school and income updated to newest available release.
The Norwegian Center for Research Data (NSD) and Statistics Norway (SSB) invite all consulting firms to participate in a trial scheme where they can use microdata.no as a data source in R&D assignments for public authorities. To access, contact email@example.com.
The winsorization confidentiality measure in microdata.no has been adjusted; the underlying data in the user’s workspace is no longer affected by this measure. Thus, regression analyzes can now be executed without being influenced by winsorization.
Data from microdata.no are the base for a new, peer-reviewed article on precariousness in European Societies.
Who needs help from the Child Welfare Services? Any change over time? Or geography? What about their social background? The February data upload to microdata.no includes child welfare and 18 new income variables, among them public and private agreement based pension.
It is now possible to perform tests and diagnostics of linear regression models in microdata.no through the use of options. Examples are tests for heteroskedasticity, multicollinearity and omitted variables.
It is now possible to perform model testing to check whether fixed or random effects estimation should be used in connection with panel regressions. This is done by using the command hausman.
It will now be possible to use instrument variables in connection with regression analyzes. For such purposes, the new command ivregress is used.
All regression commands found in microdata.no will now have associated commands that generate residual and prediction values. Such values can be used to analyze the data spread and for testing regression models. Prediction values can also be used as input for further analyzes.
Microdata.no has now been expanded with a number of new functions that can be used to make various calculations of records / rows. This automates and makes it easier to generate variables based on different calculations:
From week 40, microdata.no offers the newest available information. Starting with nine pilot variables this week, the complete database will be updated during the fall.
Step 1: Require When logged into the microdata.no workdesk for the first time, or when you start a new session, you are met by an empty screen divided in several areas. In order to import variables, you need to use the command require to specify which databank and version to connect to. Check the button Variables on the main webpage for…
For the first time, total population register data about living conditions and household characteristics are now available online without the need to apply for data beforehand. In the beginning of April 2020, variables within these subjects where released in microdata.no. The data are updated until and including 2018. The total amount of variables contained by…