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Original Articles

To RAS or not to RAS? What is the difference in outcomes in multi-regional input–output models?

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Pages 383-402
Received 18 May 2016
Accepted 18 May 2016
Published online: 13 Jun 2016

ABSTRACT

The global resource accounting model (GRAM), which is based on OECD input–output and bilateral trade data, is a multi-regional input–output model covering 53 countries and 2 regions. What differentiates GRAM from other state-of-the-art models in this field is that it does not use a matrix balancing technique, such as RAS, after the initial construction of the global intermediate coefficient and final demand matrices. Instead, it reproduces prescribed intermediate and final demand, and determines value added residually. This choice was made to alter the original data as little as possible and keep the calculations traceable. This simpler solution technique might, however, yield different results. This paper aims at identifying the difference between the current solution of GRAM and the solution of a RASed version of GRAM, thus contributing to the assessment of currently used methodologies in this research field. The short conclusion is that, even though some differences during the calculations are present, the calculated output (production) matrix does not differ substantially. The results show that larger differences are brought about by poor assumptions regarding missing or conflicting data rather than by applying or not applying a RAS procedure to the constructed global matrices.

Acknowledgments

The authors would like to thank the participants of 2013 IIOA conference for their very valuable comments during the discussion after the presentation of an earlier version of this paper. We highly appreciate the time and effort of two anonymous reviewers and acknowledge their very detailed and constructive comments on this paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work was supported by a fellowship within the Post-Doc Programme of the German Academic Exchange Service (DAAD), and by the Australian Research Council (ARC) under its Discovery Projects DP0985522 and DP130101293.
 

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