Data and Code for: Refugees are Hosted in Highly Vulnerable Communities

Principal Investigator(s):  View help for Principal Investigator(s) C. Austin Davis, American University; Paula López-Peña, Queens University; Ahmed Mushfiq Mobarak, Yale University; Jaya Wen, Harvard Business School

Version:  View help for Version V1

Name File Type Size Last Modified
  data 05/16/2024 11:14:AM
  documentation 05/16/2024 11:15:AM
README.pdf application/pdf 28.5 KB 05/16/2024 06:10:AM
Table1.do text/plain 2.5 KB 05/16/2024 06:45:AM
Table2.do text/plain 9.9 KB 05/16/2024 06:46:AM
Table3.do text/plain 13.8 KB 05/16/2024 06:41:AM
dataset_list.csv text/csv 1.6 KB 05/16/2024 07:13:AM

Project Citation: 

Davis, C. Austin, López-Peña, Paula, Mobarak, Ahmed Mushfiq, and Wen, Jaya. Data and Code for: Refugees are Hosted in Highly Vulnerable Communities. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-28. https://doi.org/10.3886/E202942V1

Project Description

Summary:  View help for Summary This repository provides replication data and code for "Refugees are Hosted in Highly Vulnerable Communities."

Abstract
In 2023, a staggering 110 million individuals endured forced displacement due to persecution, conflict, and violence (UNHCR, 2023). They faced formidable challenges, including persecution, trauma, and hunger.Globally, refugee hosting is extremely unequal. Low- and middle-income countries host 76% of the world’s refugee population (UNHCR, 2022). Among the ten countries hosting the most refugees (see Table 1), only Germany qualifies as high-income under World Bank classifications.This inequality has large implications. Economically, host countries may lack the resources and infrastructure to support refugee communities (Maystadt et al., 2019). Hosting can strain food supplies, natural resources, and public services (WFP, 2013a,b), potentially leading to political backlash (Rozo and Vargas, 2021).This study uses original and existing data to explore whether inequality in refugee hosting also exists within countries, focusing on the location of Rohingya refugee camps within Bangladesh. We find that the district hosting refugees was economically deprived compared to the national average, and within the host district, the micro-regions closest to refugee camps were disadvantaged relative to other micro-regions.

Scope of Project

Subject Terms:  View help for Subject Terms refugees
JEL Classification:  View help for JEL Classification
      F50 International Relations, National Security, and International Political Economy: General
      O10 Economic Development: General
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration


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V1 [2024-05-28]

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