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A new method to estimate inputoutput tables by means of structural lags, tested on Spanish regions

Author

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  • Oosterhaven, Jan
  • EscobedoCardeñoso, Fernando

Abstract

The RAS method extrapolates a single matrix to conform to new row and column totals. This paper proposes a cellcorrection of RAS (CRAS) that uses the deviations of multiple RAS projections, to improve the projection of the inputoutput table (IOT) of a specific country or region. The new method is tested on eleven surveybased IOTs of Spanish regions for 1999–2005. CRAS is shown to outperform RAS when three to four survey IOTs are used that are close to the target IOT. When more IOTs are added, for most but not all regions, CRAS gradually becomes worse than applying RAS to the single best IOT.

Suggested Citation

Handle: RePEc:eee:paresc:v:90:y:2011:i:4:p:829-845
DOI: 10.1111/j.1435-5957.2010.00340.x
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JEL classification:

  • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
  • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
  • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
  • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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