Please save the date! Jelmar Meester will be delivering a talk via zoom on his Fulbright project, titled "Detecting Corporate Crime: An Estimate for Hidden Offending," on January 28th at 10:00 AM in the Large Conference Room.

In his presentation,  Jelmar will begin by acknowledging that corporate offending suffers from detection bias. Not all offending can be detected through current regulatory practices. But, in contrast to mainstream criminological research, research on corporate offending cannot apply victim surveys or self-report studies to estimate the true figure of offending. To overcome this problem, he examines the application of a detection controlled estimation model to estimate the extent of undetected corporate offending. His first step in the application is to assess the performance of the model using a simulated dataset. Next, the model is applied to a dataset on offending in Dutch inland shipping. He concludes by discussing the benefits and disadvantages of the model as well as possible applications in other contexts.