temporary employment or helping in family business). For every respondent, we quantify this risk on the basis of the frequency of unemployment and atypical employment within his or her occupational class (for an extensive discussion and validation of this measure, see Schwander and Häusermann, 2013). Similarly to Rehm’s work on unemployment risk, we rely on occu- pational classes for the measurement of risk, because the probability of experiencing un- employment or atypical employment is very unequally distributed across occupational classes (Rehm, 2011a). We use the class scheme by Oesch in the collapsed version of Rehm and Kitschelt (2005). They distinguish five occupational classes: capital accumulators (high- skilled managers, self-employed and experts), socio-cultural professionals (high-skilled pro- fessionals in the public and private service sector), blue-collar workers (unskilled and skilled workers mostly in the industry), low service functionaries (unskilled and skilled em- ployees in interpersonal services) and mixed service functionaries (routine and skilled clerks). We further distinguish those five classes according to gender and age. As before, the age threshold is set at 40.