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

Name	File Type	Size	Last Modified
Repplication			04/24/2023 11:21:PM

Project Citation:

Rozo, Sandra, Moya, Andrés, Ibáñez, Ana María, and Urbina, María José. Data and Code for: Least Protected, Most Affected: Impacts of Migration Regularization Programs on Pandemic Resilience. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-22. https://doi.org/10.3886/E184441V1

Project Description

Summary: 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.

Funding Sources: World Bank

Scope of Project

Subject Terms: Refugees; Amnesties; COVID-19; LATIN AMERICA

JEL Classification:
      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: Colombia

Time Period(s): 7/2020 – 12/2021 (Second semester of 2020 and 2021)

Collection Date(s): 7/2020 – 12/2021 (Second semester of 2020 and 2021)

Universe: 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): survey data

Methodology

Sampling: 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.

Data Source: Two waves of the Venezuelan Refugees (VenRePS) Panel Survey

Collection Mode(s): telephone interview

Scales: We do not use scale variables in the analysis

Weights: The survey does not include a weight variables

Unit(s) of Observation: Individuals (Forced Venezuelan Migrants)

Geographic Unit: 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.

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V1 [2023-05-22]

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