Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure

@article{Studer2018EstimatingTR,
  title={Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure},
  author={Matthias Studer and Emanuela Struffolino and Anette Eva Fasang},
  journal={Sociological Methodology},
  year={2018},
  volume={48},
  pages={103 - 135}
}
The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis (SA) has made increasing inroads into the social sciences to analyze trajectories as holistic “process… Expand

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