Diffusion processes and event history analysis

Norman Braun and Henriette Engelhardt
Additional contact information
Henriette Engelhardt: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2002-007, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

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 generalized 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.

JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.demogr.mpg.de/papers/working/wp-2002-007.pdf (application/pdf)

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:dem:wpaper:wp-2002-007

DOI: 10.4054/MPIDR-WP-2002-007

Access Statistics for this paper

More papers in MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Peter Wilhelm ().