Since the work of J.J. Heckman, the analysis of event histiories is an established field in econometrics, especially, but not exclusively, with application to the labor market. Here we review and apply current trends in the methodology. On the one hand we discuss the typical phenomenae of (partially) missing inter-event durations due to censoring, truncation, or decrete observation (time-stamped data). On the other hand, event histories, and their state durations, are due to the temporanity requirement within Hill's criteria an aspect of causality, noted e.g. by the Novegian Statistician Odd Aalen. As statistics, typically Poisson distributed counts and hence Poisson processes are a building block for the models.