Diffusion Processes and Event History Analysis

Norman Braun and Henriette Engelhardt

Vienna Yearbook of Population Research, 2004, vol. 2, issue 1, 111-132

Abstract: Several authors (e. g., Brüderl, Diekmann, Yamaguchi) derive hazard rate models of event history analysis from social diffusion processes. This paper also focuses on the integration of diffusion research and survival analysis. After a discussion of Diekmann's flexible diffusion model, we present an alternative approach which clarifies theoretical differences between popular rate models (e. g., the exponential model, log-logistic model, sickle model). Specifically, this approach provides a new rationale for the generalised log-logistic model in the sense of a flexible infection process. In cases with bell-shaped duration dependence, it thus allows a test for social contagion as a result of random contacts between actual and potential adopters. An application to divorce data serves as an illustration.

Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://epub.oeaw.ac.at/0xc1aa500d_0x00062018

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vid:yearbk:v:2:y:2004:i:1:p:111-132

Access Statistics for this article

Vienna Yearbook of Population Research is currently edited by Tomas Sobotka and Maria Winkler-Dworak

More articles in Vienna Yearbook of Population Research from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Bibliographic data for series maintained by Bernhard Rengs ().