Duleep and Dowhan 2008 — Research on Immigrant Earnings

immigrationimmigrant-earningshuman-capitalskill-transferabilityearnings-growthlabor-economicssocial-securitymicrosimulation

Summary

Companion to "Adding Immigrants to Microsimulation Models," this paper traces the history of research on immigrant earnings trajectories and synthesizes the empirical regularities that motivate the microsimulation modifications described in the companion piece. The central finding is a strong inverse relationship between immigrant entry earnings and subsequent earnings growth — a pattern that holds over time, across national-origin groups, and in longitudinal Social Security Administration (SSA) administrative data. The paper develops the Immigrant Human Capital Investment (IHCI) model as the theoretical explanation and shows that source-country economic development level is the master predictor of this trajectory.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"Controlling for demographic and human capital characteristics, immigrants often start their U.S. lives at substantially lower earnings, but experience faster earnings growth than natives with comparable years of schooling and experience."

"A strong inverse relationship emerges between immigrant entry earnings and earnings growth."

My Take

The IHCI model is a more nuanced and ultimately more empirically supported account than Borjas's ability-decline story. The longitudinal SSA evidence in Table 6 is particularly compelling because it sidesteps the cohort-composition problem that plagues cross-sectional and pooled cross-section approaches. The English proficiency paradox (Japanese > Filipino despite lower English) is a clever test that directly challenges the institutional skill-transfer model. One caveat: the paper's policy implications assume the inverse relationship is stable across cohorts, but if source-country economic development converges toward U.S. levels, both the entry-earnings deficit and the earnings-growth premium would shrink simultaneously.