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Using Neural Networks to Build Pseudo Panels


  • Gaubert, Patrice

    () (Équipe de Recherche sur l'Utilisation des Données Individuelles en lien avec la Théorie Économique (ERUDITE) Université Paris-Est)


For many theoretical micro-economic models, longitudinal data is a pre-requisite for correct empirical validation. In the absence of true panels we can use pseudo panels, ones where the estimators obtained display the same properties as if a real panel had been used. The present text shows that using a neural network to build a pseudo panel offers many advantages over the traditional method, especially since by acting in this manner (and thanks to the significant homogeneity of the classes obtained thusly) we avoid major measurement errors.

Suggested Citation

  • Gaubert, Patrice, 2004. "Using Neural Networks to Build Pseudo Panels," European Journal of Economic and Social Systems, Lavoisier, vol. 17(1-2), pages 63-84.
  • Handle: RePEc:ris:ejessy:0131

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    More about this item


    Panels; Pseudo Panels; Kohonen Map; Consumption Function;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models


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