We present evidence from a randomized trial of the impact of matching workers to jobs using the deferred acceptance (DA) algorithm. Our setting is the U.S. Army’s annual many-to-one marketplace that matches 10,000 officers to units. Officers and jobs are partitioned into over 100 distinct markets, our unit of randomization. Matching with DA reduced officers’ attrition in their first year in their new match by 16.7 percent, but we can rule out more than a 10 percent reduction in attrition by the end of their second year. Matching with DA had precise zero effects on performance evaluations and promotions. Although matching with DA increased truthful preference reporting by a statistically significant 10 percent, many officers matched by DA misreport their true preferences. We present new evidence suggesting that communication and coordination of preferences may limit the benefits of DA in matching markets where each side actively ranks the other.

More on this topic

BFI Working Paper·Aug 12, 2026

Sticky Wage Norms and the Real Wage Cost of Unexpected Inflation

Erik Hurst, Christina Patterson, Nela Richardson, and Ye Liv Wang
Topics: Employment & Wages
BFI Working Paper·Jun 30, 2026

The Effect of Reminders for Self-Set Goals on Productivity

Martin Abel, Tomoko Harigaya, Michael Kremer, and Jessica Zhu
Topics: Development Economics, Employment & Wages
BFI Working Paper·Jun 10, 2026

The Enjoyment Paradox: College-Educated Mothers Invest More in Their Children’s Learning and Enjoy It Less

Ariel Kalil, Haoxuan Liu, and Ritika Sethi
Topics: Early Childhood Education, Employment & Wages, Higher Education & Workforce Training