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Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

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Longitudinal Research with Latent Variables

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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.

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Author information

Authors and Affiliations

  1. Department of Political Science, Ohio State University, Columbus, USA

    Daniel J. Blake

Authors
  1. Daniel J. Blake
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  2. Janet M. Box-Steffensmeier
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  3. Byungwon Woo
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Corresponding author

Correspondence to Daniel J. Blake .

Editor information

Editors and Affiliations

  1. Dept. Econometrics & Operations, Research, Vrije Universiteit Amsterdam, De Boelelaan 1105, Amsterdam, 1081 HV, Netherlands

    Kees van Montfort

  2. Behavioural Science Institute, Radboud University Nijmegen, Montessorilaan 3, Nijmegen, 6525 HR, Netherlands

    Johan H.L. Oud

  3. , Department of Economics and Business, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, Barcelona, 08005, Spain

    Albert Satorra

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Blake, D.J., Box-Steffensmeier, J.M., Woo, B. (2010). Structural Interdependence and Unobserved Heterogeneity in Event History Analysis. In: van Montfort, K., Oud, J., Satorra, A. (eds) Longitudinal Research with Latent Variables. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11760-2_9

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