Volume 36 - Article 31 | Pages 893-904 Author has provided data and code for replicating results

Extracting and reshaping World Fertility Survey data in Stata

By Germán Rodriguez, Trevor Croft

Print this page  Facebook  Twitter

 

 
Date received:25 Nov 2016
Date published:22 Mar 2017
Word count:2694
Keywords:birth history, Stata, survey, surveys, union histories
DOI:10.4054/DemRes.2017.36.31
Additional files:readme.36-31 (text file, 168 Byte)
 demographic-research.36-31 (zip file, 587 Byte)
 

Abstract

Background: The Demographic and Health Surveys (DHS) program has made available online a large number of public use files from its predecessor, the World Fertility Survey (WFS) program, see wfs.dhsprogram.com.

Contribution: To encourage and facilitate the use of these data we provide a Stata command that can be used to extract and reshape the data, using local copies or directly from the DHS data archive pages.

Author's Affiliation

Germán Rodriguez - Princeton University, United States of America [Email]
Trevor Croft - ICF International, United States of America [Email]

Other articles by the same author/authors in Demographic Research

» Demographic translation and tempo effects: An accelerated failure time perspective
Volume 14 - Article 6

Most recent similar articles in Demographic Research

» A Stata module for computing fertility rates and TFRs from birth histories: tfr2
Volume 28 - Article 38    | Keywords: birth history, Stata

» Reliability of retrospective event histories within the German Generations and Gender Survey: The role of interviewer and survey design factors
Volume 34 - Article 11    | Keywords: union histories

» Adapting chain referral methods to sample new migrants: Possibilities and limitations
Volume 33 - Article 24    | Keywords: surveys

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

» The power of the interviewer: A qualitative perspective on African survey data collection
Volume 28 - Article 27    | Keywords: survey