A Conditional Map of Immigrant Opportunity

This series has followed one defined population—undergraduates who were immigrants and attended college in the United States in 2000—from school into two decades of employment. The final question is why these students appear disproportionately at both ends of the firm-size distribution: in very large firms and multinational enterprises, and in small firms or self-employment. The most defensible answer is not that education failed to integrate them or that one immigrant trait determines their careers. Their destinations reflect several forms of alignment operating at different organizational scales, with the evidence supporting productive matching while leaving equal opportunity and individual choice unresolved.

That conclusion is conditional because the study measures realized placement, not the full set of opportunities that preceded it. It compares people who can be followed in linked U.S. records with native peers, and it estimates how group-level differences in place, fields of study, employer capability, and self-employment specialization line up with later jobs. The resulting map is valuable precisely when its boundary stays visible.

One pattern, four channels

The pattern to explain is a distribution, not a ladder. In the descriptive 2001–20 sample, immigrant students spent 18.2% of observed working quarters in firms with 1 to 20 employees, compared with 15.0% for natives. They spent 29.0% in firms with more than 10,000 employees, compared with 26.3% for natives. Their shares were lower in the middle categories: 19.7% versus 22.6% in firms with 101 to 1,000 employees and 19.6% versus 22.1% in firms with 1,001 to 10,000 employees. They also spent more time in multinational enterprises—24.0% of quarters versus 18.9% for natives—and in high-tech firms.

The adjusted career estimates express the same shape in a different way. Depending on the immigrant group, students spent 2.4 to 4.5 percentage points fewer working quarters in firms with 101 to 10,000 employees and 3.4 to 6.0 percentage points more quarters in multinational enterprises. The shift toward the smallest firms was strongest among non-citizens who arrived at age 17 or later. The result is therefore not simply “immigrants go to large firms,” nor is it simply “immigrants become entrepreneurs.” It is a relative movement away from the middle and toward organizational settings that use different forms of matching.

At the large-firm and MNE end, geography and degree specialization do most of the explanatory work. Immigrant students were more concentrated in major metropolitan areas, where large and globally connected employers are more available. The geographic predictor is stronger for firms with more than 20 employees than for the small-firm split, and it retains a relationship with MNE placement. Place supplies exposure: it changes which employers and sectors are near a student, which recruiting channels are visible, and which local labor markets can absorb a credential.

Degree specialization supplies a different alignment. Immigrant students were more concentrated in engineering and computer science and less represented in several fields with more context-dependent occupational pathways. In the preferred model, the degree coefficient is 0.5422 overall, 0.5631 for firms with more than 20 employees, and 1.2730 for MNE placements. The field relationship is not statistically distinguishable from zero in the small-firm split. Technical and quantitative capabilities can therefore help connect some immigrant students to organizations with specialized work, R&D, high-tech activity, or operations spread across countries. The result is about group-level field distributions and employer distributions, not an individual major mechanically determining a career.

Employer capability is the institutional condition on that large-firm route. A candidate can have a fitting degree and still need an employer able to support work authorization, absorb administrative costs, and manage uncertainty. The study’s capability proxy is positive but more modest: 0.1195 in the preferred overall model and 0.1306 among firms with more than 20 employees, after other factors are included.