Linked Life Data

12178155

Source:http://linkedlifedata.com/resource/pubmed/id/12178155

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2000-12-6
pubmed:abstractText
Empirical studies of the diffusion of modern methods of family planning have increasingly incorporated social interaction within nonlinear models such as logits. But they have not considered the full implications of these nonlinear specifications. This paper considers the implications of using nonlinear models in empirical analyses of the impact of family programs, modulated by social interaction, on reproductive behavior. Three implications of nonlinear models, in comparison with linear models, are developed. 1) With nonlinear models, there may be both low and high contraceptive-use equilibria (i.e., the ultimate level of use of modern family planning that a population can be expected to reach after the effects of a sustained change in a family planning program have worked through the population) rather than just one equilibrium as in linear models. If there are multiple equilibria, then one striking and important result is that a transitory large program effort may move a community from sustained low- to high-level contraceptive use. 2) With nonlinear models, the extent to which a social interaction multiplies program efforts depends on whether the community is at a low or high level of contraceptive use rather than being independent of the level of contraceptive use as in linear models. 3) With nonlinear models, intensified social interaction can retard or enhance the diffusion of family planning, in contrast to only enhancing diffusion as within linear models. To clarify these implications, for comparison a simple and more transparent linear model is also discussed. Illustrative estimates are presented of simple linear and nonlinear models for rural Kenya that demonstrate that some of these effects may be considerable.
pubmed:keyword
http://linkedlifedata.com/resource/pubmed/keyword/Contraception, http://linkedlifedata.com/resource/pubmed/keyword/Contraceptive Prevalence, http://linkedlifedata.com/resource/pubmed/keyword/Contraceptive Usage, http://linkedlifedata.com/resource/pubmed/keyword/Demographic Analysis, http://linkedlifedata.com/resource/pubmed/keyword/Demographic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Family And Household, http://linkedlifedata.com/resource/pubmed/keyword/Family Planning, http://linkedlifedata.com/resource/pubmed/keyword/Family Planning Programs, http://linkedlifedata.com/resource/pubmed/keyword/Fertility, http://linkedlifedata.com/resource/pubmed/keyword/Friends And Relatives, http://linkedlifedata.com/resource/pubmed/keyword/Models, Theoretical, http://linkedlifedata.com/resource/pubmed/keyword/Population, http://linkedlifedata.com/resource/pubmed/keyword/Population Dynamics, http://linkedlifedata.com/resource/pubmed/keyword/Reproductive Behavior, http://linkedlifedata.com/resource/pubmed/keyword/Research Methodology, http://linkedlifedata.com/resource/pubmed/keyword/Research Report, http://linkedlifedata.com/resource/pubmed/keyword/Social Networks
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
J
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1435-9871
pubmed:author
pubmed:issnType
Electronic
pubmed:day
20
pubmed:volume
3
pubmed:owner
PIP
pubmed:authorsComplete
Y
pubmed:pagination
[37] p.
pubmed:dateRevised
2003-11-14
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Empirical assessments of social networks, fertility and family planning programs: nonlinearities and their implications.
pubmed:publicationType
Journal Article