A Study of the Alternative Policies in the Control of a National Economy via Dynamic Programming.

This paper attempts to cast a light on some of the long-standing issues regarding the effectiveness and relative merits of alternative policies by simulation studies using an illustrative economic model. No econometric technique has been used to estimate model parameters. It is believed, however, th...

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Detalles Bibliográficos
Publicado en:Economica Vol. 39; no. 154; pp. 135 - 160
Autores principales: Ho, D. C. C., Noton, Maxwell
Formato: Artículo
Publicado: Wiley-Blackwell May72
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A Study of the Alternative Policies in the Control of a National Economy via Dynamic Programming.
      aug:
        au:
          Ho, D. C. C.
          Noton, Maxwell
        affil: University of Waterloo, Ontario, Canada.
      su:
        Mathematical models of economics
        Dynamic programming
        Economic models
        Economic stabilization
        Consumption (Economics)
        Economic equilibrium
        Public spending
        Economic policy
        Econometrics
      sug:
        subj:
          Mathematical models of economics
          Dynamic programming
          Economic models
          Economic stabilization
          Consumption (Economics)
          Economic equilibrium
          Public spending
          Economic policy
          Econometrics
      ab: This paper attempts to cast a light on some of the long-standing issues regarding the effectiveness and relative merits of alternative policies by simulation studies using an illustrative economic model. No econometric technique has been used to estimate model parameters. It is believed, however, that an empirical model may not be appropriate for studying the potential impact of certain policy variables since we have no guarantee that the econometrically estimated parameters will yield valid dynamic, closed-loop simulations. What is needed therefore is a new estimation technique that uses as its criterion of goodness-of-fit, "How well does the model simulate and predict?" rather than "How well does it fit historical data?".
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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