Event History Analysis With Stata

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This book offers an introduction to event history modeling techniques using Stata (version 9), a widely utilized statistical program for data analysis. It highlights the importance of event history models for causal analysis in the social sciences, particularly focusing on continuous-time models. The authors guide readers through the entire research process, starting from the challenges of recording event-oriented data, to data organization, software applications, and result interpretation. They provide examples of hypothesis testing and model selection, discussing the strengths and limitations of various techniques. Each example includes a brief explanation of the underlying statistical concepts, as well as details on data input and relevant Stata commands. Readers can easily run and modify application examples on their computers by accessing the authors' website. Examples cover diverse topics, including survival rates in medical studies, unemployment durations in economic research, and recidivism rates in criminology. This book complements previous works by Blossfeld et al. and is designed for researchers in fields such as statistics, economics, psychology, sociology, and political science. It also serves as a textbook for courses on event history analysis when paired with the authors' other publications.