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Testing for fertility stalls in demographic and health surveys
Garenne M.
Population Health Metrics 9, 1 (2011) 59 - http://hal-pasteur.archives-ouvertes.fr/pasteur-00666319
(22151961)
Testing for fertility stalls in demographic and health surveys
Michel Garenne () 1, 2, 3
1 :  UMI RESILIENCES - Unité mixte internationale Résiliences
IRD : UMI236 – Centre ivoirien de recherches économiques et sociales (CIRES) – Université de Cocody (CIV)
IRD France-Nord 32 avenue Varagnat 93143 Bondy Cedex
France
2 :  Epidémiologie des Maladies Emergentes
Institut Pasteur de Paris
25-28 rue du Docteur Roux F-75724 Paris Cedex 15
France
3 :  Witwatersrand University
School of public health
Johannesburg
Afrique Du Sud
This study compares two methods for testing fertility trends and fertility stalls using Demographic and Health Surveys data. The first method is based on linear regression and uses the equivalence of period and cohort estimates with the same cumulative fertility at age 40, the same number of births, and the same distribution of women by parity. The second method is based on logistic regression. It assumes that the age pattern of fertility is constant over short periods of time. Both methods were applied to fertility trends in several African countries (Ghana, Kenya, Madagascar, Nigeria, Rwanda, Senegal, Tanzania, and Zambia). The two methods were found to predict similar values of cumulative fertility, to produce consistent slopes, to document fertility trends the same way, and to characterize fertility stalls with similar statistical evidence. They can also be used to refute apparent fertility stalls obtained when comparing two point estimates from two successive surveys.
Sciences du Vivant/Santé publique et épidémiologie
Anglais

Articles dans des revues avec comité de lecture
10.1186/1478-7954-9-59
Population Health Metrics
Publisher BioMed Central
ISSN 1478-7954 
internationale
2011
9
1
59

Demographic transition – Fertility decline – Fertility stall – Statistical methods – Linear regression – Logistic regression – Poisson regression – sub-Saharan Africa
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1478-7954-9-59.pdf(239 KB)
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1478-7954-9-59.xml(76.5 KB)