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Hans-Peter Blossfeld & Gwendolin J. Blossfeld

In: The SAGE Handbook of Regression Analysis and Causal Inference

Chapter 16: Event History Analysis

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Event History Analysis
Event history analysis
Hans-PeterBlossfeld and Gwendolin J.Blossfeld
Introduction to the Method

The empirical investigation of causal relationships is an important but difficult scientific endeavor. In the social sciences, two understandings of causation have guided the empirical analysis of causal relationships (see Goldthorpe, 2001): ‘causation as robust dependence’ and ‘causation as consequential manipulation'. Both approaches clearly have strengths and weaknesses for the social sciences which will be shortly discussed. Based on this elaboration, a third understanding of ‘causation as generative process', proposed by David Cox (1990, 1992), is then further developed. This idea seems to be particularly valuable as a framework for event history analysis because it directs the attention of causal analysis towards the study of time lags between causes and their effects as well ...

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