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A consistent partnership formation model: Application to the United Kingdom

Marc Artzrouni & Eva Deuchert

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abstract We apply a consistent sexual partnership formation model which hinges on the assumption that one gender's choices drives the process (male or female dominant model). The other gender's behaviour is imputed. The model is fitted to UK sexual behaviour data and applied to a simple incidence model of HSV-2. With a male dominant model (which assumes accurate male reports on numbers of partners) the modelled incidences of HSV-2 are 77% higher for men and 50% higher for women than with a female dominant model (which assumes accurate female reports). Although highly stylized, our simple incidence model sheds light on the inconsistent
   
type journal paper
   
keywords partnership-formation process, sexually transmitted diseases, misreported
data, Weibull distribution, Gompertz growth, Linear quantile regression
   
language English
kind of paper journal article
date of appearance 1-1-2012
journal Mathematical Biosciences
publisher Elsevier (Amsterdam)
ISSN 0025-5564
DOI 10.1016/j.mbs.2011.12.003
volume of journal 235
number of issue 2
page(s) 182-188
review blind review
   
profile area SEPS - Economic Policy
citation Artzrouni, M., & Deuchert, E. (2012). A consistent partnership formation model: Application to the United Kingdom. Mathematical Biosciences, 235(2), 182-188, DOI:10.1016/j.mbs.2011.12.003.