Janet M. Box-Steffensmeier

Event History Modeling (eBook, PDF)

A Guide for Social Scientists

• Format: PDF

Produktbeschreibung

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 29. März 2004
• Englisch
• ISBN-13: 9780511192630
• Artikelnr.: 56684706

Autorenporträt

Janet Box-Steffensmeier is Vernal Riffe Professor of Political Science at Ohio State University. Chair of the R. H. Durr Award Committee for the best paper applying quantitative methods to a substantive issue that was presented at the 2002 Annual Meeting of the Midwest Political Science Association, 2002-3. Vice President and member of the Executive Committee of the Political Methodology Section of the American Political Science Association, 2003-5.

Inhaltsangabe

List of figures
List of tables
Preface
1. Event history and political analysis
2. The logic of event history analysis
3. Parametric models for single-spell duration data
4. The Cox Proportional Hazards model
5. Models for discrete data
6. Issues in model selection
7. Inclusion of time-varying covariates
8. Diagnostic methods for the event history model
9. Some modeling strategies for unobserved heterogeneity
10. Models for multiple events
11. Political analysis and event history
Appendix: software for event history analysis
References
Index.