The risk factors for victimization and the relationship between offending and victimization have been fairly well researched in criminology but to a much lower extent in economics. In this paper, we analyse the effect of past offending on the probability to be victimized using a representative sample from the Netherlands. We employ three different estimation approaches, starting with simple Ordinary Least Squares and focus on different samples from our data, for which arguably there is a lower selection bias. Secondly, we employ a first-difference and two-step procedure where the residual of past offending is used as an explanatory variable in the current victimization. Thirdly, we use a strategy proposed by Altonji et al. (2005), which uses the selection on observables as a guide for the selection on unobservables. Using either of the methods, we do find evidence that past offenders have higher probability to be victimized. Stable personal characteristics, such as risk preferences and lifestyle choices are likely to explain a big part of this relationship.