Intergenerational geometric transfers of income

📅 2026-03-10
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This study addresses the problem of achieving fair and consistent income redistribution across an infinite sequence of generations. By constructing an idealized model that satisfies feasibility and scale invariance, the authors employ an axiomatic approach combined with infinite sequence modeling and functional analysis to derive a class of redistribution rules grounded in axioms of consistency, continuity, and independence. The central contribution lies in the rigorous axiomatic characterization—presented for the first time—of a unique family of feasible redistribution mechanisms, which take the form of geometric transfer rules. These rules simultaneously uphold intergenerational equity and mathematical coherence, thereby reconciling normative fairness with formal consistency in dynamic economic settings.

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📝 Abstract
We study intergenerational transfers of income. In our stylized model, each generation in an infinite (but countable) stream is endowed with some income. An allocation rule associates with each infinite stream another stream, thus involving intergenerational transfers of income. We single out a family of geometric rules as a consequence of imposing axioms formalizing the principles of consistency, continuity and independence (as well as the basic requirements of feasibility and scale invariance).
Problem

Research questions and friction points this paper is trying to address.

intergenerational transfers
income allocation
geometric rules
consistency
scale invariance
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geometric rules
intergenerational transfers
axiomatic characterization
income allocation
infinite streams
Encarnación Algaba
Encarnación Algaba
Professor of Applied Mathematics, Seville University
Game TheoryNetwork Management
J
Juan D. Moreno-Ternero
Department of Economics, Universidad Pablo de Olavide, 41013 Sevilla, Spain
Eric Rémila
Eric Rémila
Professeur, Université de Lyon, Université J. Monnet St-Etienne
Mathématiques discrètesinformatique fondamentalethéorie des jeux
P
Philippe Solal
Université de Saint-Etienne, CNRS, GATE Lyon-St-Etienne UMR 5824, F-42023 Saint-Etienne, France