Volume 36 - Article 28 | Pages 803-850
Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods
|Date received:||23 Sep 2015|
|Date published:||16 Mar 2017|
|Keywords:||Demographic and Health Survey, male fertility, own-children method|
|Additional files:||readme.36-28 (text file, 1 kB)|
|demographic-research.36-28 (zip file, 436 kB)|
Background: Levels and patterns of male fertility are poorly documented in developing countries. Demographic accounts of male fertility focus primarily on developed countries, and where such accounts do exist for developing countries they are mainly available at the local or regional level.
Objective: We show how data from Demographic and Health Surveys (DHS) can be used to compute age-specific male fertility rates. Three methods are described and compared: the own-children method, the date-of-last-birth method, and the crisscross method. Male and female fertility rates are compared using the own-children method.
Results: Male fertility estimates produced using the own-children method emerge as the most trustworthy. The data needed for this method is widely available and makes it possible to document male fertility in a large number of developing countries. The date-of-last-birth method also appears worthwhile, and may be especially useful for analyzing fertility differentials. The crisscross method is less reliable, but may be of interest for ages below 40. Comparisons of male and female fertility show that reproductive experiences differ across gender in most developing countries: Male fertility is substantially higher than female fertility, and males have their children later than females.
Contribution: This study shows that Demographic and Health Surveys constitute a valuable and untapped source of data that can be used to document male fertility in a large number of countries. Male fertility rates are markedly different from female fertility rates in developing countries, and documenting both male and female fertility provides a more complete picture of fertility.
Bruno Schoumaker - Université catholique de Louvain, Belgium
Other articles by the same author/authors in Demographic Research
Most recent similar articles in Demographic Research