Using Fertility Surveys to Evaluate an Indirect Method for Detecting Fertility Control

A Study of Cohort Parity Analysis

Bibliographic Data

ID4268672
AuthorsBarbara S Okun (0000-0002-9709-5055, Hebrew University of Jerusalem), James Trussell (0000-0002-1417-7849, Princeton University), Barbara Vaughan (0009-0001-5703-9278, Princeton University)
Year1996
Volume50
Issue2
Pages161-171
Publication date1996-07-01
Open AccessNo
TypeARTICLE
VenuePopulation Studies (JOURNAL)
Journal identifiersISSN: 0032-4728 • E-ISSN: 1477-4747
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0032472031000149276
OpenAlexW2083641913
LanguageEN
Citations received1

This paper is the latest report from a research project whose overall goal is to evaluate the performance of two indirect methods – Coale and Trussell's model (M&m) and Cohort Parity Analysis (CPA) – used in the study of fertility control in populations for which direct information on the use of birth control is lacking. In this paper we evaluate CPA, using data from 32 countries that participated in the World Fertility Survey. We show that in actual application CPA is so sensitive to mis-specification of the model population, and there is so much heterogeneity among target populations in terms of non-volitional proximate determinants, that it is not possible to find a model population, that can correctly estimate the extent of control in the target populations, or even in a sub-set of target populations defined by region. In many instances CPA is unreliable. This work confirms the central findings of our earlier simulation study

Cohort · Control (management) · Demographic analysis · Econometrics · Economics · Fertility · Parity (physics) · Population · Sociology · Statistics · Artificial Intelligence · Computer Science · Demographic Trends and Gender Preferences · Demography · Family Dynamics and Relationships · Insurance, Mortality, Demography, Risk Management · Mathematics