Locus of Control
The idea of Locus of control was first introduced by \cite{Rotter_1966}. He uses a two dimensional concept describing the internal locus of control (What happens in my life depends on myself) and the external locus of control (What happens in my life depends on fate, luck and the actions of others).
\citep*{Berger_2016} use SOEP data to construct a one dimensional locus of control score using five items of the question battery, namely Question 1, 3, 5, 8  and 10. These items are chosen, because they represent a trade off between internal and external locus of control. They run a factor analysis to prove that there is one latent factor behind these five items and to approve the algebraic sign of them. All except the first are reversed and so a higher score indicates a higher internal and a lower external locus of control. They compare their concept to the ones of   \citep{Pinger_2016} or  \citep{Caliendo_2015} and find no significant differences. For more detailed analysis and arguments for choosing exactly these five and not more see the appendix of \citep*{Berger2016}. We again use the work of  \citep*{Cobb_Clark_2012}  and \citep{Elkins2017} to assume a consistency of 2 to 3 years.
Risk Aversion

Identification 

The main problem we were facing during our analysis was that there is no generated variable that could work as a proxy for our topic of interest in the SOEP.  Therefore we developed the following strategy to identify, if an individual had left his or her parental household during tertiary education,  based on the observation of the individual's household identifier.
We start by filtering all individual who obtained tertiary education from the bio-education data set provided in the SOEP core data.  In the next step we restrict the data set to individuals for who we know when they graduated from university. This reduces the number of individuals from 12877  to only  2511.  
Further we had to ensure that we observed individuals before they decided to leave their parental households. Not only because we wanted to integrate different covariates based on the parental characteristics but also to ensure that we were possible to identify . We did this by restricting the sample again based on the $stell  variable that provides information about the relationship to the head of household.  We keep only individuals who we observed as children in their original household  before they graduated.  This leads to a additional decrease so that we remained with 1363 individuals.
Lastly we created  a dummy that indicates whether an individual left his or her parental household by comparing the original household number of the individual with the  wave specific household identifier (hhnrakt) in every year until his or her graduation.  We found that from the 1363 individuals 592 stated to left their parental household during their tertiary education.