Complementarity in input-output analysis and stochastics

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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.
LanguageEnglish
Pages95-100
JournalEconomic Systems Research
Volume27
Issue number1
DOIs
StatePublished - 3 Jan 2015

Fingerprint

Input-output analysis
Complementarity
Linear programming
Stochastic analysis
Scenarios
Value systems
Confidence interval
Computable general equilibrium

Keywords

  • complementary problem
  • stochastic input-output analysis

Cite this

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title = "Complementarity in input-output analysis and stochastics",
abstract = "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.",
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Complementarity in input-output analysis and stochastics. / ten Raa, T.; Shestalova, V.

In: Economic Systems Research, Vol. 27, No. 1, 03.01.2015, p. 95-100.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Shestalova,V.

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AB - 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.

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