© 1999 - 2010
Max-Planck-Gesellschaft

Sources of error and bias in methods of fertility estimation contingent on the P/F ratio in a time of declining fertility and rising mortality

Services
Bookmark this page
Send this article to a friend
Download to Citation Manager
file Refman format (RIS)
file ProCite format (RIS)
file EndNote format
file BibTeX format
Citations and Similar Articles
PubMed
Articles by Tom A. Moultrie
Articles by Rob Dorrington
Google Scholar
Articles by Tom A. Moultrie
Articles by Rob Dorrington
Article and its Citations
 

Tom A. Moultrie
Rob Dorrington

 
VOLUME 19 - ARTICLE 46
PAGES 1635 - 1662
Date Received: 2 Apr 2008
Date Published: 16 Sep 2008

http://www.demographic-research.org/volumes/vol19/46/

doi:10.4054/DemRes.2008.19.46
   
PDF file Click the icon to view and/or download the PDF file.
Once you are in the PDF file, use your browser back button to return to this page.

Abstract
Almost all commonly used indirect fertility estimation methods rely on the P/F ratio. As originally conceived, the ratio compares cumulated cohort fertility with cumulated period fertility on the basis of three, fairly strong, assumptions. The intention of this paper is to interrogate what happens to the results produced by the P/F ratio method as each of these three assumptions is violated, first independently, and then concurrently. These investigations are important given the generally poor quality of census data collected in developing countries, particularly sub-Saharan Africa, and the radically altering demographic conditions associated with a generalised HIV/AIDS epidemic in the region.

Author's affiliation
Tom A. Moultrie
University of Cape Town, South Africa
Rob Dorrington
University of Cape Town, South Africa

Keywords
AIDS/HIV, developing countries, estimation, fertility, indirect techniques

Word count (Main text)
6228

Other articles by the same author/authors (in Demographic Research)
file[21-11] Sexual behaviour patterns in South Africa and their association with the spread of HIV: insights from a mathematical model
file[20-13] Dispensing with marriage: Marital and partnership trends in rural KwaZulu-Natal, South Africa 2000-2006
file[14-22] Modelling the demographic impact of HIV/AIDS in South Africa and the likely impact of interventions

Similar articles in Demographic Research
file [13-12] Unconventional approaches to mortality estimation (estimation, developing countries)
file [9-5] A system of model fertility schedules with graphically intuitive parameters (fertility, estimation)
file [8-4] Adolescent childbearing in sub-Saharan Africa: Can increased schooling alone raise ages at first birth? (fertility, developing countries)
file [S1-10] Concern Regarding the HIV/AIDS epidemic and Individual Childbearing: Evidence from Rural Malawi (fertility, AIDS/HIV)

[ Back to previous page ]