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Projecting supply and use tables: new variants and fair comparisons

Author

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  • Juan M. Valderas-Jaramillo
  • José M. Rueda-Cantuche
  • Elena Olmedo
  • Joerg Beutel

Abstract

We have introduced in this paper new variants of two methods for projecting Supply and Use Tables that are based on a distance minimisation approach (SUT-RAS) and the Leontief model (SUT-EURO). We have also compared them under similar and comparable exogenous information, i.e.: with and without exogenous industry output, and with explicit consideration of taxes less subsidies on products. We have conducted an empirical assessment of all of these methods against a set of annual tables between 2000 and 2005 for Austria, Belgium, Spain and Italy. From the empirical assessment, we obtained three main conclusions: (a) the use of extra information (i.e. industry output) generally improves projected estimates in both methods; (b) whenever industry output is available, the SUT-RAS method should be used and otherwise the SUT-EURO should be used instead; and (c) the total industry output is best estimated by the SUT-EURO method when this is not available.

Suggested Citation

  • Juan M. Valderas-Jaramillo & José M. Rueda-Cantuche & Elena Olmedo & Joerg Beutel, 2019. "Projecting supply and use tables: new variants and fair comparisons," Economic Systems Research, Taylor & Francis Journals, vol. 31(3), pages 423-444, July.
    • Handle: RePEc:taf:ecsysr:v:31:y:2019:i:3:p:423-444
    DOI: 10.1080/09535314.2018.1545221
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    Cited by:

    1. Sargento, Ana Lúcia Marto & Lahr, Michael L. & Ferreira, João Pedro & de la Torre Cuevas, Fernando, 2024. "Revisiting methods for estimating interregional input-output accounts: It's not just about trade flows," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 664-677.
    2. Kutlina-Dimitrova, Zornitsa & Rueda-Cantuche, José Manuel, 2021. "The impact of COVID-19 on exports related jobs," DG TRADE Chief Economist Notes 2021-1, Directorate General for Trade, European Commission, revised 17 Oct 2021.
    3. Juan Manuel Valderas‐Jaramillo & José Manuel Rueda‐Cantuche, 2021. "The multidimensional nD‐GRAS method: Applications for the projection of multiregional input–output frameworks and valuation matrices," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1599-1624, December.
    4. Rodolfo Metulini & Giorgio Gnecco & Francesco Biancalani & Massimo Riccaboni, 2023. "Hierarchical clustering and matrix completion for the reconstruction of world input–output tables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 575-620, September.
    5. López, Xesús Pereira & de la Torre Cuevas, Fernando, 2023. "An alternative for tracing the path between supply and use tables in current and constant prices," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 293-302.

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