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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Gwendolin J. Blossfeld is Postdoc at the Faculty of Social Sciences, Economics and Business Administration at the University of Bamberg. Her research interests are in the areas of longitudinal analysis methods, life course research, longitudinal data collection, causal analysis, sociology of education, labour market research, social inequality, demography, migration and gender studies. She has published five books and several peer-reviewed journals.
Inhaltsangabe
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.
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.
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