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This book elucidates the statistical concepts and empirical applications of both continuous-time and discrete-time event history models. It serves as an essential resource for researchers, students, and practitioners seeking to comprehend the nuances of event history analysis in both continuous and discrete-time frameworks.
Gwendolin J. Blossfeld is Postdoc at the Faculty of Social Sciences, Economics and Business Administration at the University of Bamberg, Germany. Her research interests are in the areas of longitudinal analysis methods, life course research, longitudinal data collection, causal analysis, sociology of education, labor market research, social inequality, demography, migration, and gender studies. She has published five books and several peer-reviewed journal articles.
1. Introduction. 2. Basic terminology, concepts, and data structures. 3. Statistical models. 4. Comparison of continuous-time and discrete-time exponential transition rate models. 5. Comparison of continuous-time and discrete-time transition rate models with duration dependence. 6. Models with unobserved heterogeneity. 7. Discussion and conclusion. 8. Appendix A: Stata do-files.
