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Projecting Supply, Use and Input-Output Tables

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For a number of analytical purposes users often require comparable SUTs and IOTs. This implies, for example, that they need SUTs and IOTs available on a regular frequency and with certain timeliness. In practice, however, SUTs may be compiled on an annual basis or every five years or even at irregular time intervals. The situation for IOTs is similar. In general, a projection problem consists of knowing one single base table (SUTs or IOTs) and estimating a target table possibly with additional information such as known row and/or column totals or even certain table elements. There are a variety of methods, techniques and approaches in projecting SUTs and IOTs and dealing with the missing data gaps. Projections are generally done by analysts and researchers but depending on the situation some projection model could be used in support of regular compilation in specific circumstances. Therefore, these techniques are not only for analytical purposes but they can also help producers, for example, dealing with periods between benchmarked years. This Chapter provides a review of various projection methods and techniques as well as references to work in literature to help overcome the problem of incomplete data thus allowing the estimation and projection of SUTs and IOTs. The Chapter starts, in Section B, with a description of the needs for projection methods. It then provides in Section C, a review of the general approaches and categorization of the projection methods including a historical perspective on some of the work in literature that is most relevant to the scope and content of this Handbook. Section D presents a numerical example of three projection methods: the generalised RAS (GRAS) method, the SUT-RAS method, and the Euro method. Finally, Section E provides a description of the criteria to consider when choosing a projection method.
2018-08-22
United Nations Statistics Division
JRC90513
https://unstats.un.org/unsd/nationalaccount/docs/SUT_IOT_HB_wc.pdf,    https://publications.jrc.ec.europa.eu/repository/handle/JRC90513,   
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