Technical Efficiency in the Production of Economic Knowledge.

The article focuses on the technical efficiency in producing economic knowledge. During the decade of the 1970s, economists began to direct their theoretical models and quantitative skills toward an analysis of economic education. A production in economic theory is defined as the maximum amount of o...

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Publicado en:Journal of Economic Education Vol. 13; no. 2; pp. 3 - 14
Autor principal: Miller, Jimmie C.
Formato: Artículo
Publicado: Taylor & Francis Ltd Summer82
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Acceso en línea:Ver este registro en EBSCOhost
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      vid: 13
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      pub: Taylor & Francis Ltd
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        atl: Technical Efficiency in the Production of Economic Knowledge.
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        au: Miller, Jimmie C.
        affil: Professor of economics, Illinois Central College
      su:
        Industrial efficiency
        Economics
        Economists
        Mathematical programming
        Mathematical inequalities
        Linear programming
      sug:
        subj:
          Industrial efficiency
          Economics
          Economists
          Mathematical programming
          Mathematical inequalities
          Linear programming
      ab: The article focuses on the technical efficiency in producing economic knowledge. During the decade of the 1970s, economists began to direct their theoretical models and quantitative skills toward an analysis of economic education. A production in economic theory is defined as the maximum amount of output that can be produced from a given stock of inputs. Hence, firms cannot produce beyond the surface. They are constrained to being either on or below the surface, with points below the surface representing technically inefficient operations. Thus, a production frontier should be estimated, and since the error terms are constrained to being equal to or greater than zero, a mathematical programming technique is an appropriate device for estimating the coefficients. Since no assumptions concerning the statistical properties of the coefficients or the error terms are made, no statistical inferences can be drawn. Since the firm must be either on or below the frontier, the estimated output must be equal to or less than the actual output. The problem then is to minimize the sum of the errors rather than the sum of the squared errors as in regression analysis. Due to the inequalities of the constraints a linear programming technique is an appropriate technique for estimating the coefficients of the coefficients vector which minimize the sum of errors
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 1982
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