Volume 28 - Article 38 | Pages 1093–1144  

A Stata module for computing fertility rates and TFRs from birth histories: tfr2

By Bruno Schoumaker

Abstract

Background: Since the 1970s, birth history data have become widely available, thanks to the World Fertility survey and the Demographic and Health Surveys programs. Despite their wide availability, these data remain under-exploited. Computation, even of simple indicators (fertility rates, total fertility rates, mean age at childbearing) and their standard errors, is not direct with such data, and other types of analysis (fertility differentials, reconstruction of fertility trends et cetera) may also involve reorganization of data sets and statistical modeling that present a barrier to the use of birth history data.

Objective: This paper presents a Stata software module (tfr2) that was prepared to analyze birth history data in a user-friendly and flexible way. It is designed to be used primarily with DHS data, but can also be used easily with birth histories from other sources. Three types of analysis are performed by tfr2: (1) the computation of age-specific fertility rates and TFRs, as well as their standard errors, (2) the reconstruction of fertility trends, and (3) the estimation of fertility differentials (rate ratios).

Methods: The tfr2 module is composed of two parts: (1) a Stata command to transform birth history data into a table of births and exposure (tabexp), and (2) a Poisson regression model to compute fertility rates, fertility trends and fertility differentials from a table of births and exposure (produced by tabexp).

Comments: One can obtain tfr2 free of charge. It will work with Stata 10 and more recent versions of Stata.

Author's Affiliation

• Bruno Schoumaker - Université catholique de Louvain, Belgium EMAIL

Other articles by the same author/authors in Demographic Research

Multiple (il)legal pathways: The diversity of immigrants' legal trajectories in Belgium
Volume 47 - Article 10

Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods
Volume 36 - Article 28

Reconstructing trends in international migration with three questions in household surveys: Lessons from the MAFE project
Volume 32 - Article 35

Most recent similar articles in Demographic Research

Educational trends in cohort fertility by birth order: A comparison of England and Wales, Scotland, and Northern Ireland
Volume 51 - Article 36    | Keywords: birth order, cohort analysis, cross-national study, England, family size, fertility, Northern Ireland, parity, Scotland, Wales

Children under 5 in polygynous households in sub-Saharan Africa, 2000 to 2020
Volume 51 - Article 32    | Keywords: children, Demographic and Health Surveys (DHS), family demography, polygyny, sub-Saharan Africa

Higher incomes are increasingly associated with higher fertility: Evidence from the Netherlands, 2008–2022
Volume 51 - Article 26    | Keywords: fertility, income, inequalities, Netherlands, parenthood

The short- and long-term determinants of fertility in Uruguay
Volume 51 - Article 10    | Keywords: fertility, panel data, stages of female reproductive life, time series, Uruguay

Socio-behavioral factors contributing to recent mortality trends in the United States
Volume 51 - Article 7    | Keywords: despair, health, mortality, National Health Interview Survey (NHIS), smoking, trends