
Techniques of Event History Modeling
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*gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences;
*demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history models employ the time-path of changes in states and relate changes in causal variables in the past to changes in discrete outcomes in the future; and
*introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most frequently used with longitudinal data, in particular, discrete-time and continuous-time event history data.
Techniques of Event History Modeling can serve as a student textbook in the fields of statistics, economics, the social sciences, psychology, and the political sciences. It can also be used as a reference for scientists in all fields of research.
Reviews / Votes
"Techniques of Event History Modeling fully attains both goals, showing the usefulness of event history modeling as a new approach to causal modeling and being an introduction to the program TDA. The book deserves the attention of researchers from the field of OB, although - or better: because - it offers a somewhat different perspective on social processes."-Rainier, Hampp, Verlag "Techniques of Event History Modeling fully attains both goals, showing the usefulness of event history modeling as a new approach to causal modeling and being an introduction to the program TDA. The book deserves the attention of researchers from the field of OB, although - or better: because - it offers a somewhat different perspective on social processes."
-Rainier, Hampp, Verlag
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