Adapting Fertility Exposure Analysis to the Study of Fertility Change

Dados Bibliográficos

ID4267956
AutoresThomas W Pullum (0000-0002-8859-8144, a University of Texas; Austin, Texas, U.S.A.), John B Casterline (0000-0002-0058-9973, b Brown University; Providence, Rhode Island, U.S.A.), Ikram Shah (0000-0001-8850-4374, World Health Organization), Iqbal H Shah (0000-0002-3662-4128, c World Health Organization, Geneva)
Ano1987
Volume41
Fascículo3
Páginas381-399
Data de publicação1987-11-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoPopulation Studies (JOURNAL)
Identificadores do periódicoISSN: 0032-4728 • E-ISSN: 1477-4747
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0032472031000142966
OpenAlexW2002920484
IdiomaEN
Citações recebidas5

Fertility exposure analysis was developed recently by Hobcraft and Little in order to evaluate the relative importance of the various proximate determinants upon levels of current fertility. In the present paper we extend the analysis to the study of changes in fertility between two cross-sectional surveys. We show how to express fertility change as a product of terms which represent changes in the proximate determinants. The model of change is adapted to a log-linear framework, in which the proximate determinants on the one hand, and socio-economic variables such as education, on the other, are considered together. A few simplifications of the method are also suggested so that fewer demands are made on data. The model and its possible interpretations are illustrated with pairs of surveys from Pakistan and Mexico. In each pair, one survey was part of the WFS programme and the other was very similar but conducted five years later

Biology · Econometrics · Economics · Fertility · Geography · Population · Proximate · Sociology · Demographic Trends and Gender Preferences · Demography · Gender, Labor, and Family Dynamics · Global Maternal and Child Health