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An Experimental Evaluation of Deferred Acceptance: Evidence From Over 100 Army Officer Labor Markets

Jonathan M.V. Davis et al.

Econometrica2026https://doi.org/10.3982/ecta22160article
FT50AJG 4*ABDC A*
Weight
0.37

Abstract

Internal labor markets are increasingly important for matching workers to jobs within organizations. We present evidence from a randomized trial that compares matching workers to jobs using the deferred acceptance (DA) algorithm to the traditional manager‐directed matching process. Our setting is the U.S. Army's internal labor market, which matches over 14,000 officers to units annually. We find that DA reduces administrative burden and increases match quality as measured by reduced justified envy, increased truthful preference reporting, and officers' and units' preferences over their matches. The overall impact of DA on officer retention and performance in the two years after officers started their new jobs is limited by strategic preference coordination between officers and units. However, DA leads to significant improvements in officer retention and promotions in markets with inexperienced managers. Our findings suggest that cross‐market communication between agents in internal labor markets can attenuate the benefits of strategyproof matching algorithms.

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https://doi.org/https://doi.org/10.3982/ecta22160

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@article{jonathan2026,
  title        = {{An Experimental Evaluation of Deferred Acceptance: Evidence From Over 100 Army Officer Labor Markets}},
  author       = {Jonathan M.V. Davis et al.},
  journal      = {Econometrica},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3982/ecta22160},
}

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An Experimental Evaluation of Deferred Acceptance: Evidence From Over 100 Army Officer Labor Markets

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.