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Data Construction: From IO Tables to Supply-Use Models

In: Rethinking Input-Output Analysis

Author

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  • Jan Oosterhaven

    (University of Groningen)

Abstract

An overview of non-survey construction methods for regional input–output tables (RIOTs) reveals a systematic overestimation of regional multipliers. The iterative bi-proportional scaling method RAS avoids this problem if it is fed with intra-regional row and column totals without a systematic bias. The Cell-Corrected RAS method, additionally, takes advantage of the multitude of survey-based RIOTs to improve the intra-regional cell estimates of unknown RIOTs. Next, it is shown how a semi-survey bi-regional IOT may be constructed with a double-entry construction method that requires only minimal survey data about the spatial destination of the sales by the regional industry. Finally, product-by-industry, national and interregional supply-use tables (SUTs) are introduced, along with the models based on them, and the assumptions needed to construct them.

Suggested Citation

  • Jan Oosterhaven, 2019. "Data Construction: From IO Tables to Supply-Use Models," SpringerBriefs in Regional Science, in: Rethinking Input-Output Analysis, chapter 0, pages 19-39, Springer.
    • Handle: RePEc:spr:sbrchp:978-3-030-33447-5_3
    DOI: 10.1007/978-3-030-33447-5_3
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