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Christine L. Williams, Chair CLA 3.306, Mailcode A1700, Austin, TX 78712 • 512-232-6300

Fall 2007

SOC 389K • Event History Analysis

Unique Days Time Location Instructor
47830 W
9:00 AM-12:00 PM
BUR 231
HAYWARD

Course Description

This course provides an in-depth introduction to survival methods for the analysis of change in time-dependent discrete dependent variables. The course draws on methodological and empirical research from the social sciences. Special attention is directed at the relationship between theories of social change, life course attainment and dynamic models. Moreover, we will examine alternative data collection strategies to obtain longitudinal data. Examples and homework assignments will draw principally on three data sets: the German Life History Study (GLHS), the National Longitudinal Survey of Older Men, and the National Health Interview Surveys.

The course begins by focusing on simple stochastic processes for qualitative variables. We do so through the lens of non-parametric, discrete-time life table techniques. The topics include basic life table relations, single- and multiple-decrement life table models, and increment-decrement life table models. The purpose is to learn how to describe increasingly complex dynamic social processes. We then turn to continuous-time, discrete-state models. Parametric and partially parametric models will be introduced which allow for the dependency of rates on both explanatory factors and time. We will briefly examine some special topics including competing risk models, local hazard models, unobserved sources of heterogeneity in hazard models, and continuous state-space hazard models. The purpose of this aspect of the course is to communicate the variety and power of multivariate hazard models for hypothesis testing of social science processes.

Texts

Blossfeld, Hans-Peter, and Gotz Rohwer. 2002. Techniques of Event History Modeling. Second Edition. Mahway, New Jersey: Lawrence Erlbaum Associates. If you are a Stata user and plan to use event history models extensively in your work, you might want to consider ordering a new version of this text that uses Stata to generate the examples shown in the text. The text is: Blossfeld, Hans-Peter, Katrin Golsch, and Gotz Rohwer. 2007. Event History Analysis with Stata. Mahway, New Yersey: Lawrence Erlbaum Associates.

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