Predicting Victimizations Across the Lifecourse With Routine Activities Theory: The Special Case of Older Adults

Ronet Bachman, University of Delaware
Christina Lanier, University of Delaware
Michelle L. Meloy, Rutgers University - Camden

Descriptive analyses of victimization data against older adults consistently finds that the elderly are disproportionately victims of theft-based violence including robbery and economically motivated homicide at or near their private residences compared to younger victims. Using data from the National Crime Victimization Survey, this paper uses constructs from Routine Activities Theory including to predict location and victim/offender-relationship specific crime victimization (robbery, assault, and personal larceny) across the lifecourse. Gender specific models are also predicted, allowing for a reformulation of Routine ActivitiesTheory that is more appropriately age and gender specific.

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Updated 05/20/2006