Multivariate Analysis of Parity Progression-Based Measures of the Total Fertility Rate and Its Components.
This article describes a methodology for applying a discrete-time survival model—the complementary log-log model—to estimate effects of socioeconomic variables on (1) the total fertility rate and its components and (2) trends in the total fertility rate and its components. For the methodology to be...
| Publicado en: | Demography Vol. 47; no. 1; pp. 97 - 125 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Science & Business Media B.V.
February 2010
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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=510973838&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510973838 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 2010 vid: 47 iid: 1 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 510973838 10.1353/dem.0.0087 ppf: 97 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 3.7MB tig: atl: Multivariate Analysis of Parity Progression-Based Measures of the Total Fertility Rate and Its Components. aug: au: Retherford, Robert Ogawa, Naohiro Matsukura, Rikiya Eini-Zinab, Hassan su: Multivariate analysis Fertility, Human Philippines sug: subj: Philippines Multivariate analysis Fertility, Human ab: This article describes a methodology for applying a discrete-time survival model—the complementary log-log model—to estimate effects of socioeconomic variables on (1) the total fertility rate and its components and (2) trends in the total fertility rate and its components. For the methodology to be applicable, the total fertility rate (TFR) must be calculated from parity progression ratios (PPRs). The components of the TFR are PPRs, the total marital fertility rate (TMFR), and the TFR itself as measures of the quantum of fertility, and mean and median ages at first marriage and mean and median closed birth intervals by birth order as measures of the tempo or timing of fertility. The focus is on effects of predictor variables on these measures rather than on coefficients, which are often difficult to interpret in the complex models that are considered. The methodology is applicable to both period and cohort data. It is illustrated by application to data from the 1993, 1998, and 2003 Demographic and Health Surveys (DHS) in the Philippines. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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