Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
The worsening of Ecuador's socioeconomic conditions and the rapid inflow of Venezuelan migrants demand a rapid government response. Representative information on the migration and host communities is vital for evidence-based policy design. Thi...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2020
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/110561595423329189/Big-Data-for-Sampling-Design-The-Venezuelan-Migration-Crisis-in-Ecuador http://hdl.handle.net/10986/34175 |
| Summary: | The worsening of Ecuador's
socioeconomic conditions and the rapid inflow of Venezuelan
migrants demand a rapid government response. Representative
information on the migration and host communities is vital
for evidence-based policy design. This study presents an
innovative methodology based on the use of big data for
sampling design of a representative survey of migrants and
host communities' populations. This approach tackles
the difficulties posed by the lack of information on the
total number of Venezuelan migrants—regular and
irregular—and their geographical location in the country.
The total estimated population represents about 3 percent of
the total Ecuadoran population. Venezuelans settled across
urban areas, mainly in Quito, Guayaquil, and Manta
(Portoviejo). The strategy implemented may be useful in
designing similar exercises in countries with limited
information (that is, lack of a recent census or migratory
registry) and scarce resources for rapidly gathering
socioeconomic data on migrants and host communities for
policy design. |
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