Asylum Determination within the European Union (EU): Whether Capacity and Social Constraints Impact the Likelihood of Refugee Status Determination
By Louden Paul Richason
This paper analyzes whether capacity and social constraints impact acceptance rates for asylum seekers in the European Union from 2000-2016. Theoretically people should receive asylum based on the criteria outlined in international law – a well founded fear of persecution – but the influx and distribution of applicants in the European Union suggests that this may not hold in practice. For a group of pre identified “legitimate” asylum cases, this paper finds that surges in applications in a country (i.e. capacity constraints) have a positive and statistically significant correlation with acceptance rates, while the percentage of migrants in a country (i.e. social constraints) has a negative and statistically significant correlation with acceptance rates. This suggests that the burden of proof becomes easier during a surge in total applications in a country. However, as the international migrant stock in that country increases, it is more difficult for that same group of applicants to receive asylum.
Advisors: Professor Suzanne Shanahan, Professor Michelle Connolly | JEL Codes: D73, D78, F22, H12, J11, J15, K37, O52
Immigrant Workers in a Changing Labor Environment: A study on how technology is reshaping immigrant earnings
By Grace Peterson
This research determines how automation affects immigrant wages in the US and how closely this impact follows the skills-biased technical change (SBTC) hypothesis. The present study addresses this question using American Community Survey (ACS) data from 2012 to 2016 and a job automation probability index to explain technological change. This research leverages OLS regressions to evaluate real wage drivers, grouping data by year, immigration status, and education level. According to the SBTC hypothesis, high skill immigrant wages should be less negatively affected by technological change than low skill immigrant wages. Univariate analysis suggests that the SBTC hypothesis is even stronger for US = immigrants than native-borns, as high skill immigrants have a lower average probability than low skill immigrants of having their jobs automated, and the difference in effect on high versus low skilled workers is larger for immigrant than native-borns. However, multivariate analysis asserts that technological change affects low skill immigrants’ wages less than high skilled individuals’ wages, which counters the SBTC hypothesis.
Advisors: Professor Grace Kim | JEL Codes: J15, J24, J31, J61, E24
Endogeneity in the Decision to Migrate: Changes in the Self-Selection of Puerto Rican Migrants before, during, and after the Great Recession
By Aasha Reddy
Migrants self-select on characteristics such as income. We use the U.S. Census’ ACS and PRCS to study changes in selection patterns of Puerto Rican migrants to the to the U.S. mainland (50 states) before, during, and after the Great Recession (2005 to 2016). We construct counterfactual income densities to compare incomes of Puerto Rican migrants to the mainland versus incomes of island residents under equivalent returns to skill. We examine where Puerto Rican migrants to the mainland tend to fall in the island’s income distribution and find that Puerto Rican migrants tend to come from the top 20% of the island’s income distribution. This pattern remained stable with little to no effect of the Great Recession on selectivity patterns.
Advisors: William Darity and Michelle Connolly | JEL Codes: J15, J61, O15
The Effect of Minority History on Racial Disparities in the Mortgage Market: A Case Study of Durham and New Haven
By Jisoo Yoon
In the aftermath of the housing market crash, the concentration of subprime mortgage loans in minority neighborhoods is a current and long-standing issue. This study investigates the presence of racial disparities in mortgage markets by examining two cities with contrasting histories of African American and Hispanic establishment: Durham, North Carolina and New Haven, Connecticut. This study examines data by the Home Mortgage Disclosure Act (HMDA), and distills the effect of minority legacy on the perception of racial risk by using econometric instruments to separate the behavior of national lenders and local lenders. The econometric methods allow national lenders to reflect objective risk measures and neighborhood race dynamics, while local lenders reflect subjective attitudes towards certain races. With its longer history of African American presence, Durham shows a positive attitude towards Black borrowers at the local level, while New Haven shows a more favorable attitude towards its Hispanic residents. Nonetheless, racial legacy also materializes as a negative factor in the form of increased residential segregation and spillover effects. Furthermore, a temporal variation analysis of pre- and post-mortgage market reform data affirms the disappearance of racial bias and continued presence of spillover risk in Durham.
Advisor: Christopher Timmins | JEL Codes: C01, G21, J15, R21, R23, R31 | Tagged: Econometrics, Mortgages, Economics of Minorities, Races, Census, Migration, Population, Neighborhood Characteristics, Housing Supply and Market
By Jack Willoughby
Anecdotal and circumstantial evidence suggest that the implementation of Secure Communities, a federal program that allows police officers to more easily identify illegal immigrants, has increased racial bias by police. The goal of this analysis is to empirically evaluate the effect of Secure Communities on racial bias by police using motor vehicle stop and search data from the North Carolina State Bureau of Investigation. This objective differs from most previous research, which has largely attempted to quantify racial profiling for a moment in time rather than looking at how an event influences racial profiling. I examine the effects of Secure Communities on police treatment of Hispanics vs. whites with an expanded difference-in-difference approach that looks at outcomes in
motor vehicle search success rate, search rate conditional on a police stop, stop rate, and police action conditional on stop. Statistical analyses yield no evidence that the ratification of Secure Communities increased racial profiling against Hispanics by police. This finding is at odds with the anecdotal and circumstantial evidence that has led many to believe that the ratification of Secure Communities led to a widespread increase in racial profiling by police, a discrepancy that should caution policy makers about making decisions driven by stories and summary statistics.
Advisor: Frank Sloan | JEL Codes: J15, K14, K37, K42 | Tagged: Racial Policing, Bias, Immigration Law, Secure Communities
By Basel Fakhoury
The Great Migration caused massive demographic changes in Northeastern and Midwestern cities as African Americans moved from the South to the North. These changes led to economic discrimination and segregation within northern cities. This paper compares African American and white rental prices in four major cities: Chicago, Detroit, New York City, and Philadelphia in an effort to see how this discrimination and segregation affected rental prices. The results consistently show that in the most precise geographic area, prices rise as the concentration of blacks in those neighborhoods rise, which I believe is a result of overcrowding.
Advisor: Patrick Bayer | JEL Codes: J1, J11, J15, R31 | Tagged:
How Do Different Parental Beliefs and Parenting behaviors Affect Students’ College Academic Performance?
By Zifan Lin
I examine the differences between Asian Americans and Caucasian Americans with respect to parental beliefs, parenting behaviors, and college academic achievement. The results suggest that 1) there is a strong causal effect of study time on college performance, 2) parental strictness and emphasis on education distinguish Asian American students from Caucasian American students in their choice of a major, study effort, and self-motivation, all of which determine college GPA, and 3) an expanded list of parental control measures and self-motivation measures should be introduced in future research to effectively explain the ethnicity effect on study effort and college academic outcomes.
Advisor: Peter Arcidiacon | JEL Codes: I2, J10, J15, J22 | Tagged: