Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data.
Previous studies have demonstrated both large gains in efficiency and reductions in bias by incorporating population information in regression estimation with sample survey data. These studies, however, assumed that the population values are exact. This assumption is relaxed here through a Bayesian...
| Publicado en: | Demography Vol. 46; no. 1; pp. 65 - 84 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Science & Business Media B.V.
February 2009
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510761301&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510761301 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography issn: 00703370 maglogo: N pubinfo: dt: February 2009 vid: 46 iid: 1 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 510761301 10.1353/dem.0.0041 ppf: 65 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 4.5MB tig: atl: Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data. aug: au: Rendall, Michael S. Handcock, Mark S. Jonsson, Stefan H. su: Statistics Demography methodology Fertility, Human Hispanic Americans Human sexuality United States sug: subj: United States Statistics Demography methodology Fertility, Human Hispanic Americans Human sexuality ab: Previous studies have demonstrated both large gains in efficiency and reductions in bias by incorporating population information in regression estimation with sample survey data. These studies, however, assumed that the population values are exact. This assumption is relaxed here through a Bayesian extension of constrained maximum likelihood estimation applied to U.S. Hispanic fertility. The Bayesian approach allows for the use of both auxiliary survey data and expert judgment in making adjustments to published Hispanic Population fertility rates, and for the estimation of uncertainty about these adjustments. Compared with estimation from sample survey data only, the Bayesian constrained estimator results in much greater precision in the age pattern of the baseline fertility hazard and therefore of the predicted values for any given combination of socioeconomic variables. The use of population data in combination with survey data may therefore be highly advantageous even when the population data are known to have significant levels of nonsampling error. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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