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Current Uses of the RAS Technique: A Critical Review

In: Prices, Growth and Cycles

Author

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  • Karen R. Polenske

Abstract

Many analysts are using nonsurvey techniques to estimate national and regional input-output tables, interregional trade flows, and other types of economic data. Analysts’ extensive use of these techniques reflects the delicate compromise they must make between the cost of collecting actual data and the accuracy of the models with which they work. For adjusting and/or updating input-output tables, analysts most widely use the RAS procedure. Based upon the structure of a national or a different, but supposedly similarly structured, regional table, they employ the technique both to update national (regional) tables and to estimate regional tables. They use a base national (regional) table, A, and separately estimate marginal row (r) and columnand column (s) controls for the predicted year. They then iteratively adjust the flows in A first to sum to the respective rs and then to the respective ss until the new row and column totals in the new matrix are as close as designated to marginal (actual) totals.

Suggested Citation

  • Karen R. Polenske, 1997. "Current Uses of the RAS Technique: A Critical Review," Palgrave Macmillan Books, in: András Simonovits & Albert E. Steenge (ed.), Prices, Growth and Cycles, chapter 4, pages 58-88, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-1-349-25275-6_4
    DOI: 10.1007/978-1-349-25275-6_4
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    Cited by:

    1. Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature," Energy Economics, Elsevier, vol. 48(C), pages 81-88.
    2. Erno Zalai, 1998. "Computable Equilibrium Modelling and Application to Economies in Transition," CERT Discussion Papers 9804, Centre for Economic Reform and Transformation, Heriot Watt University.
    3. Hale Çetinay & Franco Donati & Reinout Heijungs & Benjamin Sprecher, 2020. "Efficient computation of environmentally extended input–output scenario and circular economy modeling," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 976-985, October.
    4. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    5. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.

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