Event History Modeling: A Guide for Social Scientists

By Janet M. Box-Steffensmeier, B. Jones, R. Alvarez, Nathaniel Beck, Lawrence L. Wu. 2004

1,559 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/afe553161ec7f1fee2e306c76f8c81aa683b61ad

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Citations in the corpus

• Opportunity Structures in Established Firms (2012, methodology): “In addition, I reestimated the results using the multinomial logit specification that represents a discrete-time equivalent of the competing-risk model (Box-Steffensmeier and Jones, 2004).”
• Rivalry Between Multinational Enterprises: An Event History Approach (2007, unknown): “Further, in an OLS regression of response time, there is no viable way to specify the model’s disturbance term; that is, one cannot be assured that the error term will be unbiased ( Box-Steffensmeier & Jones, 2004; Tuma & Hannan, 1984).”
• Working while studying: the impact of term-time employment on dropout rates (2013, background): “This means that information on the students’ employment status is taken from the previous year in the analysis, in order to deal with the causal ordering problem (Box-Steffensmeier and Jones 2004).”
• Constitutional Power and Competing Risks: Monarchs, Presidents, Prime Ministers, and the Termination of East and West European Cabinets (2009, background): “This requires that two models be estimated, one for each risk, in which government failures due to the other risk are treated as unobserved (or censored in the language of survival analysis) (Box-Steffensmeier and Jones 2004, 169).”
• Predictors of foster care exits to permanency: A competing risks analysis of reunification, guardianship, and adoption (2011, methodology): “…(i.e., children who have yet to exit foster care); utilizes duration information in the model; controls for effects of independent variables (also called covariates), as with other regression models; and permits both categorical and continuous independent variables (Steffensmeier & Jones, 2004).”
• Network Effects in Countries’ Adoption of IFRS (2014, unknown): “Moreover, in situations where the range of possible values for T is low (as in the case of our data where T varies between 1 and 6), Box-Steffensmeier and Jones (2004) argue the countingprocess method is likely to be more appropriate for hazard analyses.”