ESTIMATING DEMAND EQUATIONS.

The sum over individuals of the differentials of demand functions is the basic starting point of the Rotterdam model. In this paper, we show that this global differential can be inverted. Moreover, it can be parametrized according to the lines of the Rotterdam model. Consequently, we have two comple...

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Detalles Bibliográficos
Publicado en:European Economic Review Vol. 9; no. 3; pp. 301 - 322
Autores principales: Salvas-Bronsard, Lise, LeBlanc, D., Bronsard, C.
Formato: Artículo
Publicado: Elsevier B.V. Aug77
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Elsevier B.V.
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        10.1016/S0014-2921(77)80031-7
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        atl: ESTIMATING DEMAND EQUATIONS.
      aug:
        au:
          Salvas-Bronsard, Lise
          LeBlanc, D.
          Bronsard, C.
        affil: Université de Montréal, Montréal, Canada
      su:
        Economic demand
        Mathematical functions
        Equations
        Demand function
        Global differential geometry
        Estimation theory
        Mathematical models of economics
        Mathematical models
        Economics
      sug:
        subj:
          Economic demand
          Mathematical functions
          Equations
          Demand function
          Global differential geometry
          Estimation theory
          Mathematical models of economics
          Mathematical models
          Economics
      ab: The sum over individuals of the differentials of demand functions is the basic starting point of the Rotterdam model. In this paper, we show that this global differential can be inverted. Moreover, it can be parametrized according to the lines of the Rotterdam model. Consequently, we have two complete specifications in order to analyse demand and they compete on a priori grounds. After discussing the characteristics of each model relative to the stochastic assumptions used for its estimation, the structure of substitution-complementarity that it allows and its power for Computational Economics, we estimate both models and compare their results.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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