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Selective Conscription: Sequential Allocation under Incomplete Information in Brazil's Military Recruitment and Retention System

Daniel Reiss

No 125/2026, Economics and Politics Working Paper Series from Economics and Politics Research Group (EPRG), University of Brasília

Abstract: The value of military service is often learned only through experience, yet initial selection into service must occur before that experience takes place. This creates a tension at the heart of every selective conscription system: the military must allocate positions among a large pool of potential recruits under imperfect information about both aptitude and preferences. Brazil, which registers over 1.5 million young men each year but incorporates only about 5 percent, is one of the largest selective systems in the world. Yet no formal framework models this process as a sequential allocation mechanism. This paper develops such a model, combining centralized screening, capacity constrained selection by military organizations, and post-service learning through reenlistment. Two results follow. First, the interaction between screening and capacity constraints endogenously generates local quasi-random assignment at the selection margin, providing an institutional micro-foundation for regression-discontinuity identification without requiring an explicit lottery. Second, when preferences are learned through experience, conditioning initial selection on stated willingness to serve is suboptimal for the formation of a high-quality retained force. As hybrid voluntary-mandatory designs return to the European policy agenda, these results offer analytical building blocks for the reform of conscription systems under uncertainty.

Keywords: conscription; military manpower; screening; incomplete information; regression discontinuity; Brazil (search for similar items in EconPapers)
JEL-codes: D82 D86 H56 J24 J45 (search for similar items in EconPapers)
Date: 2026-09-22
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Persistent link: https://EconPapers.repec.org/RePEc:gvn:eprgwp:1252026

DOI: 10.5281/zenodo.23484449

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