Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

Daniel J. Blake (), Janet M. Box-Steffensmeier () and Byungwon Woo ()
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Daniel J. Blake: Ohio State University, Department of Political Science

Chapter Chapter 9 in Longitudinal Research with Latent Variables, 2010, pp 275-301 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11760-2_9

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DOI: 10.1007/978-3-642-11760-2_9

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