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Complementarity in input-output analysis and stochastics

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The complementarity between the quantity and value systems of input–output analysis is shown to be the basis of the complementarity problem approach to computable general equilibrium. The numerical superiority of the latter to the linear programming approach facilitates stochastic analysis of input–output scenarios. For the example where Kyoto targets are underachieved to uncertain degrees, confidence intervals are derived for the associated consumption reductions.
Original languageEnglish
Pages (from-to)95-100
JournalEconomic Systems Research
Issue number1
StatePublished - 3 Jan 2015

    Research areas

  • complementary problem, stochastic input-output analysis
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