Reconstructing trends in international migration with three questions in household surveys: Lessons from the MAFE project

Bruno Schoumaker; Cris Beauchemin

Volume 32 - Article 35 | Pages 983–1030

Reconstructing trends in international migration with three questions in household surveys: Lessons from the MAFE project

By Bruno Schoumaker, Cris Beauchemin

Date received:

21 Feb 2014

Date published:

19 May 2015

Word count:

6966

Keywords:

Africa, migration, survey, trends

DOI:

10.4054/DemRes.2015.32.35

Additional Files:

demographic-research.32-35 (zip file, 385 kB)
readme.32-35 (text file, 611 Byte)

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Abstract

Background: Data on migration trends are crucially lacking in developing countries. The lack of basic information on migration contrasts sharply with the increasing importance of migration in the policy agenda of both sending and receiving countries.

Objective: The general objectives of this paper are: to show how trends in international migration can be reconstructed with three questions in a household survey; to evaluate the precision of the estimates; and to test how sensitive the estimates are to several methodological choices and assumptions.

Methods: Migration trends are reconstructed with event history models. The reconstruction uses data collected through migration surveys conducted in cities in three countries (Senegal, Democratic Republic of Congo, and Ghana) as part of the MAFE (Migration between Africa and Europe) project. Specifically, two types of data are used: simple data on the first migration of children of household heads, collected through household surveys, and full migration histories of children collected in biographic surveys. First, we evaluate the precision of our estimates using data collected in the household questionnaire. Next, the sensitivity of our results to different methodological choices and assumptions is evaluated.

Results: Migration trends measured with simple data from household surveys are broadly consistent with results obtained from full migration histories. However, increases in migration trends tend to be underestimated with household data. Migration probabilities are also affected by large confidence intervals.

Conclusions: Estimates using household data may be affected by large confidence intervals, and migrations trends are influenced by the simplifying assumptions that are made when using these data. Despite these limitations, estimates based on three simple questions provide useful information on migration levels and trends.

Author's Affiliation

Bruno Schoumaker - Université catholique de Louvain, Belgium EMAIL
Cris Beauchemin - Institut National d'Études Démographiques (INED), France EMAIL