 Data Construction: From IO Tables to Supply-Use ModelsChapter Chapter 3 in Rethinking Input-Output Analysis, 2019, pp 19-39 from Springer Abstract: 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. Keywords: Location quotient methods; Cross-hauling; Cell-Corrected RAS; Bi-regional input–output table; Supply-use table; Product technology assumption; Industry sales structure assumption; Interregional supply-use model; International input–output tables (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sbrchp:978-3-030-33447-5_3 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-33447-5_3 Access Statistics for this chapter More chapters in SpringerBriefs in Regional Science from Springer |
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