Duleep and Dowhan 2008 — Adding Immigrants to Microsimulation Models

immigrationmicrosimulationsocial-securityearnings-forecastingimmigrant-earningsdemographic-methodspolicy-analysisssdi

Summary

Companion to Duleep and Dowhan's research on immigrant earnings, this paper specifies how to modify the three standard microsimulation earnings approaches — human capital, past-is-prologue, and donor — to handle the foreign-born. It demonstrates that earnings growth rather than earnings levels is the appropriate sufficient statistic for immigrant earnings trajectories, and shows how entry earnings relative to native peers predict subsequent growth. The paper applies the modified Modeling Income in the Near Term (MINT) microsimulation to project Social Security outcomes for immigrant cohorts through 2020, revealing dramatic shifts in the foreign-born retiree population and a widening gap in benefit adequacy.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"Earnings growth, not earnings levels, is the key to predicting immigrant retirement outcomes."

My Take

The paper's core methodological contribution — using earnings growth as the sufficient statistic and entry earnings as the growth predictor — elegantly sidesteps the selection problem in immigrant level comparisons. The emigration parameterization is empirically grounded but relies on historical cohort flows that may not generalize to post-2006 entry cohorts with different policy environments. The MINT projections are striking: doubling of OA-ineligible retirees (4.3%→10.3%) implies a large uninsured population among the elderly foreign-born that standard Social Security analyses miss entirely.