TREE ranges among Switzerland’s most important data infrastructures in the social sciences (see study profile on this site for further detail). Its data belong to the country’s most frequently used panel data sets. Several hundreds of scholars both in Switzerland and abroad have so far worked with the data of the first TREE cohort (TREE1) and published a large number of analyses based on them (see list of publications on this site).
The TREE data are basically available to all interested scholars. They are accessible online and free of charge at FORSbase (see quicklink below).
First data on the 2nd TREE cohort (TREE2) now available!
As of March 2021, the first data of TREE's second cohort (TREE2), launched in 2016, are now available for scientific research. They include data from the baseline survey (2016) and the first two panel waves 1 and 2 (2017 and 2018), as well as detailed episodic data of all educational, labour market and other activities undertaken by the respondents between 2016 and 2018. The data are distributed by the FORS Data Center in Lausanne and can be downloaded here:
For further detail, see our publication on TREE2's study design:
Interested in working with TREE1 data?
In parallel, the data of the first TREE cohort (TREE1), remain of course also available. They include the following elements:
- Dataset of the baseline survey (PISA 2000);
- Wave-specific datasets of 9 panel waves conducted between 2001 and 2014;
- A dataset containing all employment spells recorded between 2003 and 2014 on a month-by-month base. (unit of observation = spell/episode);
- A dataset containing the totality of all educational diplomas the TREE respondents have obtained up to 2014;
- A weighting dataset allowing for correction of sample bias/attrition.
A further (10th) survey wave among the TREE1 cohort has been conducted in 2019/20, at average respondent’s age of 35.
The data are downloadable under the same link as the TREE2 data (see above).
Should you encounter difficulties with getting access to the TREE data at FORSbase, do not hesitate to contact us (email@example.com or +41 31 684 38 23).