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Analysis of Event Histories

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Handbook of Statistical Modeling for the Social and Behavioral Sciences

Abstract

Event histories are generated by so-called failure-time processes and take the following form. The dependent variable—for example, some social state—is discrete or continuous. Over time it evolves as follows. For finite periods of time (from one calendar date to another) it stays constant at a given value. At a later date, which is a random variable, the dependent variable jumps to a new value. The process evolves in this manner from the calendar date, when one change occurs, to a later date, when another change occurs. Between the dates of the changes, the dependent variable stays constant.

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Authors and Affiliations

  1. Walter A. Haas School of Business, University of California, Berkeley, CA, 94720, USA

    Trond Petersen

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  1. Trond Petersen
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Editors and Affiliations

  1. Department of Economics, Bergische Universität-GH Wuppertal, D-42097, Wuppertal, Germany

    Gerhard Arminger

  2. Department of Sociology and Department of Statistics, Late of Pennsylvania State University, 16802, University Park, Pennsylvania, USA

    Clifford C. Clogg

  3. Department of Sociology, University of Arizona, 85721, Tucson, Arizona, USA

    Michael E. Sobel

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Petersen, T. (1995). Analysis of Event Histories. In: Arminger, G., Clogg, C.C., Sobel, M.E. (eds) Handbook of Statistical Modeling for the Social and Behavioral Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1292-3_9

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  • DOI: https://doi.org/10.1007/978-1-4899-1292-3_9

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