The United States operates the world's largest refugee resettlement program. However, there is almost no systematic evidence on whether refugees successfully integrate into American society over the long run. We address this gap by drawing on linked administrative data to directly measure a long-term integration outcome: naturalization rates. Assessing the full population of refugees resettled between 2000 and 2010, we find that refugees naturalize at high rates: 66% achieved citizenship by 2015. This rate is substantially higher than among other immigrants who became eligible for citizenship during the same period. We also find significant heterogeneity in naturalization rates. Consistent with the literature on immigration more generally, sociodemographic characteristics condition the likelihood of naturalization. Women, refugees with longer residency, and those with higher education levels are more likely to obtain citizenship. National origins also matter. While refugees from Iran, Iraq, and Somalia naturalize at higher rates, those from Burma, Ukraine, Vietnam, and Liberia naturalize at lower rates. We also find naturalization success is significantly shaped by the initial resettlement location. Placing refugees in areas that are urban, have lower rates of unemployment, and have a larger share of conationals increases the likelihood of acquiring citizenship. These findings suggest pathways to promote refugee integration by targeting interventions and by optimizing the geographic placement of refugees.
At a time of heightened anxiety surrounding immigration, state governments have increasingly sought to manage immigrant and refugee flows. Yet the factors that influence where immigrants choose to settle after arrival remain unclear. We bring evidence to this question by analyzing population-level data for refugees resettled within the United States. Unlike other immigrants, refugees are assigned to initial locations across the country but are free to relocate and select another residence after arrival. Drawing on individual-level administrative data for adult refugees resettled between 2000 and 2014 (N = 447,747), we examine the relative desirability of locations by examining how retention rates and patterns of secondary migration differ across states. We find no discernible evidence that refugees’ locational choices are strongly influenced by state partisanship or the generosity of welfare benefits. Instead, we find that refugees prioritize locations with employment opportunities and existing co-national networks.
In August 2010, the Costa Rican government implemented a comprehensive program to increase compliance with legal minimum wages, the Campaña Nacional de Salarios Mínimos (National Campaign for Minimum Wages). To evaluate the impact of the Campaign, the authors use a regression discontinuity (RD) approach, which compares what happened to workers who before the Campaign had been earning below the minimum wage to those who before the Campaign had been earning above the minimum wage. They analyze a panel data set with information on workers from before the Campaign began (July 2010) and after the Campaign had been in operation for some time (July 2011). The evidence supports the conclusion that the Campaign led to an increase in compliance with minimum wage laws in Costa Rica; the mean earnings of those being paid less than the minimum wage in 2010 increased by approximately 10% more than the earnings of those being paid more than the minimum wage. The Campaign led to the largest increases in the wages of women, younger workers, and less-educated workers. The authors find no evidence that the Campaign had a negative impact on the employment of full-time workers whose wages were increased. Weak evidence suggests that the Campaign had a negative impact on the employment of part-time private-sector employees. Although increased inspections mainly targeted minimum wage violations, the authors also observe an increase in compliance with a broader set of labor standards and a positive spillover effect relative to other violations of labor laws. Specifically, the analysis provides evidence that the Campaign had a positive impact on the probability that workers receive legally mandated nonwage benefits such as Social Security (which includes pension and health insurance), overtime pay, sick leave, and paid vacations.
This paper examines the earnings penalties and premiums associated with different types of employment in 73 countries. Workers are divided into four categories: non-professional own-account workers, employers and own-account professionals, informal wage employees, and formal wage employees. Approximately half of the workers in low income countries are non-professional own-account workers, and the majority of the rest are informal employees. Fewer than 10 percent are formal employees, and only 2 percent of workers in low income countries are employers or own-account professionals. As per capita gross domestic product increases across countries, there are large net shifts from non-professional own-account work into formal wage employment. Across all regions and income levels, non-professional own-account workers and informal wage employees face an earnings penalty compared with formal wage employees. But in low income countries, this earnings penalty is small, and non-professional own-account workers earn a positive premium relative to all wage employees. Earnings penalties for non-professional own-account workers tend to increase with gross domestic product and are largest for female workers in high income countries. On average, employers and own-account professionals earn a premium compared to employees, although there are important differences across countries and between men and women. In terms of regional differences, earnings premiums for employers and professionals are largest for men in middle income Latin American countries. On the other hand, women employers and professionals do not earn a statistically significant premium compared to employees in any region of the world. These results are consistent with compensating wage differentials and firm quasi-rents playing important roles in explaining cross-country variation in earnings penalties, and raise questions about the extent to which the unskilled self-employed are rationed out of formal wage work in low income countries.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.