Log-Linear Models for Event Histories
Author | : Jeroen K. Vermunt |
Publisher | : SAGE Publications, Incorporated |
Total Pages | : 368 |
Release | : 1997-05-13 |
ISBN-10 | : UCSD:31822023820871 |
ISBN-13 | : |
Rating | : 4/5 (71 Downloads) |
Book excerpt: Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables. This book presents a general approach to missing data problems in event history analysis which is based on the similarities between log-linear models, hazard models and event history models. It begins with a discussion of log-rate models, modified path models and methods for obtaining maximum likelihood estimates of the parameters of log-linear models. The author then shows how to incorporate variables with missing information in log-linear models - including latent class models, m