Data and Code for: Least Protected, Most Affected: Impacts of Migration Regularization Programs on Pandemic Resilience
Principal Investigator(s): View help for Principal Investigator(s) Sandra Rozo, World Bank ; Andrés Moya, Universidad de los Andes; Ana María Ibáñez, Inter-American Development Bank; María José Urbina, World Bank
Version: View help for Version V1
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Project Description
Summary:
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We
leverage panel data collected during the COVID-19 pandemic to assess whether Venezuelan forced migrants who were eligible for a regularization program in Colombia were
more resilient and less affected by the pandemic than similar but non-eligible forced
migrants. Results indicate that access to the program promoted better health access
for eligible migrants, facilitating adherence to prevention guidelines and increasing
detection rates. Additionally, eligible migrants had better housing and labor conditions, relative to non-eligible migrants.
Scope of Project
Subject Terms:
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Refugees;
Amnesties;
COVID-19;
LATIN AMERICA
JEL Classification:
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F22 International Migration
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
F22 International Migration
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Geographic Coverage:
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Colombia
Universe:
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Venezuelan forced migrants that fulfilled the following criteria: (i) aged 18 or older; (ii) were undocumented at the time of arrival to Colombia; and (iii) arrived in Colombia between January 1, 2017, and December 2018.
Data Type(s):
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survey data
Methodology
Sampling:
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We use two waves of the Venezuelan Refugees Panel Survey (VenRePS), administered in
the second semesters of 2020 and 2021.
The baseline sample covered 2,232 forced migrant households who arrived in Colombia between January 1, 2017 and December 2018, including 1,135 who registered in a previous survey called Registro Administrativo de Migrantes Venezolanos (from here on RAMV migrants), and 1,097 irregular forced migrants (non-RAMV migrants from here on). The sample of RAMV migrants was randomly selected from the RAMV census. The sample for non-RAMV migrants was randomly selected by combining databases shared by associations of Venezuelan refugees and referrals from migrants who were being surveyed as part of the RAMV sample frame. In the second wave, we re-interviewed 1,432 households (64% of the sample in the first wave). Attrition from the sample was not systematic with respect to baseline conditions.
The baseline sample covered 2,232 forced migrant households who arrived in Colombia between January 1, 2017 and December 2018, including 1,135 who registered in a previous survey called Registro Administrativo de Migrantes Venezolanos (from here on RAMV migrants), and 1,097 irregular forced migrants (non-RAMV migrants from here on). The sample of RAMV migrants was randomly selected from the RAMV census. The sample for non-RAMV migrants was randomly selected by combining databases shared by associations of Venezuelan refugees and referrals from migrants who were being surveyed as part of the RAMV sample frame. In the second wave, we re-interviewed 1,432 households (64% of the sample in the first wave). Attrition from the sample was not systematic with respect to baseline conditions.
Data Source:
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Two waves of the Venezuelan Refugees (VenRePS) Panel Survey
Collection Mode(s):
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telephone interview
Scales:
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We do not use scale variables in the analysis
Weights:
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The survey does not include a weight variables
Unit(s) of Observation:
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Individuals (Forced Venezuelan Migrants)
Geographic Unit:
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The sample is representative of the three cities in Colombia that host the largest share of Venezuelan migrants (Barranquilla, Bogotá and Medellín) and a fourth “region” that aggregates smaller cities.
Related Publications
Published Versions
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