The data set contains many examples and exercises on such topics as handling episode data, estimating survivor functions and cumulative incidence functions, or working with parametric and semiparametric transition rate models. In addition, the book offers a chapter on sequence analysis by Brendan Halpin.

The data set rrdat1.dta used in the examples throughout the book are taken from the German Life History Study (GLHS) but anonymized for data protection purposes. The GLHS was conducted by Karl Ulrich Mayer, as principal investigator at the Max Planck Institute for Human Development and Education in Berlin. The original data collection was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). For details on rrdat1.dta see chapter 2 in the book.

The new edition gives the opportunity to apply and intensify knowledge on event history modeling. The Appendix contains many exercises in which the dependent processes are job exits and entry into first marriage. Therefore the data set rrdat2.dta has been created. For his examples on sequence analysis with Stata, Brendan Halpin also uses this data set.

The data set rrdat2.dta is a small sample of so-called Starting Cohort 6, version D_7-0-0 (doi:10.5157/NEPS:SC6:7.0.0), that has been anonymized in several ways. It is restricted to persons born and living in West Germany who entered the labor market at least once. It covers 1,935 individuals with 7,392 job spells.

Due to data modification caused by anonymization, rrdat2.dta cannot be used for substantial research. If you have interest in NEPS data, please use the Scientific Use Files by signing a Data Use Agreement. Note: None of the cases in rrdat2.dta can be matched to any case in the Scientific Use Files, as data are completely anonymized.