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Le problème de l'agrégation : un essai de synthèse

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  • Vivien Lévy-Garboua
  • François-Bernard Denizot

Abstract

[fre] In this paper, we give a general formulation of the aggregation problem, which includes both the aggregation of weak orderings (Arrow aggregation), and that of functional relationships, whether probabilistic or not (econometric problem of aggregation).. The general impossibility of perfect aggregation induces us to define approximate aggregation. Of course, the estimation problems must be taken into account in practical cases : the model (detailed or simplified) to be used depends on the relative independance of the behaviors one seeks to aggregate. [eng] In this paper, we give a general formulation of the aggregation problem, which includes both the aggregation of weak orderings (Arrow aggregation), and that of functional relationships, whether probabilistic or not (econometric problem of aggregation).. The general impossibility of perfect aggregation induces us to define approximate aggregation. Of course, the estimation problems must be taken into account in practical cases : the model (detailed or simplified) to be used depends on the relative independance of the behaviors one seeks to aggregate.

Suggested Citation

  • Vivien Lévy-Garboua & François-Bernard Denizot, 1972. "Le problème de l'agrégation : un essai de synthèse," Revue Économique, Programme National Persée, vol. 23(1), pages 20-53.
    • Handle: RePEc:prs:reveco:reco_0035-2764_1972_num_23_1_408008
    DOI: 10.3406/reco.1972.408008
    Note: DOI:10.3406/reco.1972.408008
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    References listed on IDEAS

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    1. W. M. Gorman, 1968. "The Structure of Utility Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(4), pages 367-390.
    2. Fisher, Franklin M, 1969. "The Existence of Aggregate Production Functions," Econometrica, Econometric Society, vol. 37(4), pages 553-577, October.
    3. Edwards, John B & Orcutt, Guy H, 1969. "Should Aggregation Prior to Estimation Be the Rule?," The Review of Economics and Statistics, MIT Press, vol. 51(4), pages 409-420, November.
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