Modelling the Age Dynamics of Chronic Health Conditions: Life-Table-Consistent Transition Probabilities and their Application
Frank T. Denton and
Byron Spencer
Quantitative Studies in Economics and Population Research Reports from McMaster University
Abstract:
We derive transition probability matrices for chronic health conditions using survey prevalence data. Matrices are constructed for successive age groups and the sequence represents the “age dynamics” of the health conditions for a stationary population – the probabilities of acquiring the conditions, of moving from one chronic conditions state to another, and of dying. One can simulate the life path of a cohort under the initial probabilities, and again under altered probabilities to explore the effects of eliminating a particular condition or reducing its mortality probabilities. We report the results of such simulations and note the general applicability of the methods.
Keywords: Chronic health conditions; transition probabilities; age dynamics (search for similar items in EconPapers)
JEL-codes: I19 J19 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2011-11
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://socserv.mcmaster.ca/qsep/p/qsep448.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://socserv.mcmaster.ca/qsep/p/qsep448.pdf [302 Moved Temporarily]--> https://socialsciences.mcmaster.ca/qsep/p/qsep448.pdf)
Related works:
Working Paper: Modelling the Age Dynamics of Chronic Health Conditions: Life-Table-Consistent Transition Probabilities and their Application (2014) 
Working Paper: Modelling the Age Dynamics of Chronic Health Conditions: Life-Table-Consistent Transition Probabilities and Their Application (2011) 
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:mcm:qseprr:448
Access Statistics for this paper
More papers in Quantitative Studies in Economics and Population Research Reports from McMaster University Contact information at EDIRC.
Bibliographic data for series maintained by ().