A Note on the Characterization of Optimal Allocations in OLG Models with Multiple Goods

Jean-Marc Bonnisseau and Lalaina Rakotonindrainy

PSE-Ecole d'économie de Paris (Postprint) from HAL

Abstract: We consider a pure exchange overlapping generations economy with a varying number of commodities and consumers per period having possibly non-complete non transitive preferences. We provide a geometric and direct proof of the Balasko-Shell characterization of Pareto optimal allocations. As a by-product, we compute an explicit Pareto improving transfer when the criterion is not satisfied, which is minimal for some suitable distance.

Keywords: Overlapping generations model; non complete non transitive preferences; normal cone; equilibrium; Pareto optimality (search for similar items in EconPapers)
Date: 2015-09-15
References: Add references at CitEc
Citations:

Published in Set-Valued and Variational Analysis, 2015, pp.10.1007/s11228-015-0342-7. ⟨10.1007/s11228-015-0342-7⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: A note on the characterization of optimal allocations in OLG models with multiple goods (2015)
Working Paper: A Note on the Characterization of Optimal Allocations in OLG Models with Multiple Goods (2015)
Working Paper: A note on the characterization of optimal allocations in OLG models with multiple goods (2015)
Working Paper: A Note on the Characterization of Optimal Allocations in OLG Models with Multiple Goods (2015)
Working Paper: A note on the characterization of optimal allocations in OLG mdels with multiple goods (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:halshs-01199162

DOI: 10.1007/s11228-015-0342-7

Access Statistics for this paper

More papers in PSE-Ecole d'économie de Paris (Postprint) from HAL
Bibliographic data for series maintained by Caroline Bauer ().