The Economic and Fiscal Impact of STEM Immigration in General Equilibrium
We study the economic and fiscal effects of STEM immigration using a stochastic, heterogeneous-agent overlapping-generations model featuring non-stationary demographics, total factor productivity driven endogenously by STEM employment, and six skill-specific native–immigrant complementarity groups ([native, foreign-born] × three skill groups). Each group has considerable heterogeneity and imperfect substitution by age to capture realistic age effects. A detailed tax system and spending apparatus—including Social Security, Medicare, Medicaid, ACA subsidies, SNAP and more—is modeled where the government may run deficits and accumulate debt. We contribute new estimates of the elasticity of TFP with respect to STEM employment (0.26) and of native–immigrant substitution elasticities, finding college-educated domestic and foreign-born STEM workers considerably more complementary (5.63) than prior estimates suggest. We estimate that a proposal to exempt STEM immigrants from green card caps raises output by 4.0 percent and average labor income by 2.9 percent by 2059, while reducing federal debt by 5.5 percent. All native-born workers are better off, with the largest lifetime equivalent-variation gains accruing to low-educated households; incumbent foreign-born STEM workers, the closest substitutes for new arrivals, are the only group persistently made worse off.