Probability Models for Duration: The Data Don′t Tell the Whole Story
Marc Vanhuele (),
Sunil Sharma () and
Additional contact information
Marc Vanhuele: GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique
Post-Print from HAL
Probability models for duration have been applied to a wide range of individual-level and organizational phenomena. Interestingly, seemingly similar models may produce different results. Using divorce as an illustration, we discuss a hierarchy of duration models of different complexity and show how an analysis of the results across models helps explain why different studies may have come to different conclusions. This analysis also leads to substantive insights that even the most complete model by itself does not provide.
Keywords: probability model; duration (search for similar items in EconPapers)
Note: View the original document on HAL open archive server: https://hal-hec.archives-ouvertes.fr/hal-00457580
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Published in Organizational Behavior and Human Decision Processes, Elsevier, 1995, Vol.62, n°1, pp.1-13. 〈10.1006/obhd.1995.1026〉
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00457580
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().