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Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

  • Daniel J. BlakeEmail author
  • Janet M. Box-Steffensmeier
  • Byungwon Woo
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Abstract

This chapter introduces how latent variables are handled in event history analysis, a popular method used to examine both the occurrence and the timing of events. We first emphasize why event history models are popular and what kinds of research questions the model can be used to answer. We also review the major estimation issues, briefly trace the development of event history models, and highlight the differences and similarities across various types of event history models. We then consider how latent variables are handled in event history analysis and demonstrate this with an example of latent variable analysis. In the conclusion we consider possible areas for future research.

Keywords

Ordinary Little Square Event History Failure Time Baseline Hazard Discrete Choice Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Daniel J. Blake
    • 1
    Email author
  • Janet M. Box-Steffensmeier
  • Byungwon Woo
  1. 1.Department of Political ScienceOhio State UniversityColumbusUSA

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