Structural interdependence and unobserved heterogeneity in event history analysis

Daniel J. Blake, Janet M. Box-Steffensmeier, Byungwon Woo

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationLongitudinal Research with Latent Variables
PublisherSpringer Berlin Heidelberg
Pages275-301
Number of pages27
ISBN (Print)9783642117596
DOIs
Publication statusPublished - 2010

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

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  • Cite this

    Blake, D. J., Box-Steffensmeier, J. M., & Woo, B. (2010). Structural interdependence and unobserved heterogeneity in event history analysis. In Longitudinal Research with Latent Variables (pp. 275-301). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-11760-2_9