Techniques of Event History Modeling

<p>Including new developments and publications which have appeared since the publication of the first edition in 1995, this second edition:<br> *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences;<br> *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 <br> *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.<br><br><i>Techniques of Event History Modeling</i> 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.</p> <p><b>Contents: </b>Preface. Introduction. Event History Data Structures. Nonparametric Descriptive Methods. Exponential Transition Rate Models. Piecewise Constant Exponential Models. Exponential Models With Time-Dependent Covariates. Parametric Models of Time-Dependence. Methods to Check Parametric Assumptions. Semi-Parametric Transition Rate Models. Problems of Model Specification. <b>Appendix: </b>Basic Information About TDA.</p>