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Projection of input-output tables by means of mathematical programming based on the hypothesis of stable structural evolution

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  • Miguel Angel Tarancon
  • Pablo Del Rio

Abstract

The high costs involved in the construction of input-output tables (IOTs) using survey methods, makes the development of mathematical projection techniques attractive. An adjustment and projection method of IOTs, based on mathematical programming techniques, is proposed here. The flexibility and ability to include information on elements and aggregates is one of this method's main advantages over alternative adjustment methods. Among the information included in the adjustment, the most relevant is related to the evolution hypothesis of the production structure under stable conditions. This leads to the inclusion of intervals for coefficients. A set of adjusted tables, consistent with their own internal structure, is obtained after an interactive and iterative process that reconciles all information sources. A projection of IOTs in Spain for the period 1995-1998 is undertaken to examine the accuracy of the method.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 17 (2005)
Issue (Month): 1 ()
Pages: 1-23

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Handle: RePEc:taf:ecsysr:v:17:y:2005:i:1:p:1-23

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Related research

Keywords: Input-output projection; mathematical programming; structural evolution;

References

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  1. Kurt Kratena & Gerold Zakarias, 2004. "Input Coefficient Change Using Biproportional Econometric Adjustment Functions," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 191-203.
  2. G. Dosi, 1999. "Innovation, Organization and Economic Dynamics. An Autobiographical Introduction," LEM Papers Series 1999/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  3. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," GE, Growth, Math methods 0403006, EconWPA.
  4. Antonelli, Cristiano, 2003. "Localized Technological Change," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200305, University of Turin.
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