- Key Readings
Event history analysis is an umbrella term for a set of procedures for time series analysis. Event history models focus on the hazard function, which has to do with the probabilities that an event will occur after any given duration. Duration to the hazard of death was the classic example in medical research, but the hazard may have a positive meaning also, such as duration until the event of adoption of an innovation in diffusion research
Over the last two decades, event history analysis has emerged as a mature analytical tool in the social sciences. This four-volume edited collection, Event History Analysis, consists of a) classic papers that have been key in determining or explicating various subareas of event history analysis, and b) high quality applications that demonstrate the utility of event history analysis, drawn from a wide range of substantive areas.
The term “event history” was coined in 1979 by Nancy Brandon Tuma and colleagues in their classic article, “Dynamic Analyses of Event Histories” (Tuma, Hannan, and Groeneveld 1979). Since then, the statistical methods for analyzing event history data have diffused widely. Event history methods are now used routinely across numerous disciplines, including the social science fields of demography, economics, education, political science, and sociology.
Nevertheless, the intellectual roots of these methods have a long and distinguished history. This is reflected, in part, by the organization of Volume 1. After an introductory overview of event history methods (Wu 2003, Article 1), Volume I turns to four contributions on non-parametric estimation (Articles 2–4) that provide the theoretical statistical foundation that underlies many of ...