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Every year, people are forcibly displaced world-wide, major reasons being ethnic-wars, politically unstable situations, natural disasters, nationality issues, human-rights violation, and
other factors that might may account for the fear of persecution in the home country. Consequentially, the affected population migrates to the neighbouring states or countries which
may create an uneven burden on these host countries, and may impact its polices, or economic activities. This study aims to study the research question, “What is the effect of refugee
population, already claimed asylum, on the asylum country’s gross domestic product per capita?”. These effects of the refugee population by country of asylum (a country where asylum claim was granted) are studied across the available countries over a span of twenty-two years, from the year 2000 through 2021. I have constructed a panel data from several sources that accounts for my variables of interest, and its related covariates. I am using panel data methods, entity fixed effects and time fixed effects, to find the estimated effect and address the issue of omitted variable bias. I will also look into regions, Sub-Saharan African countries, Low-income countries, and OECD countries, to find the magnitude of effect for these regions.
other factors that might may account for the fear of persecution in the home country. Consequentially, the affected population migrates to the neighbouring states or countries which
may create an uneven burden on these host countries, and may impact its polices, or economic activities. This study aims to study the research question, “What is the effect of refugee
population, already claimed asylum, on the asylum country’s gross domestic product per capita?”. These effects of the refugee population by country of asylum (a country where asylum claim was granted) are studied across the available countries over a span of twenty-two years, from the year 2000 through 2021. I have constructed a panel data from several sources that accounts for my variables of interest, and its related covariates. I am using panel data methods, entity fixed effects and time fixed effects, to find the estimated effect and address the issue of omitted variable bias. I will also look into regions, Sub-Saharan African countries, Low-income countries, and OECD countries, to find the magnitude of effect for these regions.
Presenter(s)
Anom Ashok Dule, University of Maryland, College Park
Effect of Refugee Population on the Asylum Country’s Gross Domestic Product Per Capita
Category
Organized Session Abstract Submission
Description
Session: [010] HUMAN RIGHTS, REFUGEES AND CHALLENGES IN ECONOMIC DEVELOPMENT (AIRLEAP)
Date: 4/11/2023
Time: 8:30 AM to 10:15 AM
Date: 4/11/2023
Time: 8:30 AM to 10:15 AM