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...

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Main Authors:	Munoz, Juan, Munoz, Jose, Olivieri, Sergio
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2020
Subjects:	SAMPLING DESIGN STRATIFICATION BIG DATA MIGRATION WEIGHT CALIBRATION MAXIMUM ENTROPY DISPLACED PERSONS INTERNATIONAL MIGRATION
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

id	okr-10986-34175
recordtype	oai_dc
spelling	okr-10986-341752022-09-20T00:12:35Z Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador Munoz, Juan Munoz, Jose Olivieri, Sergio SAMPLING DESIGN STRATIFICATION BIG DATA MIGRATION WEIGHT CALIBRATION MAXIMUM ENTROPY DISPLACED PERSONS INTERNATIONAL MIGRATION 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. 2020-07-23T14:12:28Z 2020-07-23T14:12:28Z 2020-07 Working Paper http://documents.worldbank.org/curated/en/110561595423329189/Big-Data-for-Sampling-Design-The-Venezuelan-Migration-Crisis-in-Ecuador http://hdl.handle.net/10986/34175 English Policy Research Working Paper;No. 9329 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Latin America & Caribbean Ecuador Venezuela, Republica Bolivariana de
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	SAMPLING DESIGN STRATIFICATION BIG DATA MIGRATION WEIGHT CALIBRATION MAXIMUM ENTROPY DISPLACED PERSONS INTERNATIONAL MIGRATION
spellingShingle	SAMPLING DESIGN STRATIFICATION BIG DATA MIGRATION WEIGHT CALIBRATION MAXIMUM ENTROPY DISPLACED PERSONS INTERNATIONAL MIGRATION Munoz, Juan Munoz, Jose Olivieri, Sergio Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
geographic_facet	Latin America & Caribbean Ecuador Venezuela, Republica Bolivariana de
relation	Policy Research Working Paper;No. 9329
description	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.
format	Working Paper
author	Munoz, Juan Munoz, Jose Olivieri, Sergio
author_facet	Munoz, Juan Munoz, Jose Olivieri, Sergio
author_sort	Munoz, Juan
title	Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
title_short	Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
title_full	Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
title_fullStr	Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
title_full_unstemmed	Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador
title_sort	big data for sampling design : the venezuelan migration crisis in ecuador
publisher	World Bank, Washington, DC
publishDate	2020
url	http://documents.worldbank.org/curated/en/110561595423329189/Big-Data-for-Sampling-Design-The-Venezuelan-Migration-Crisis-in-Ecuador http://hdl.handle.net/10986/34175
_version_	1764480399729229824

Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador

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