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Spaces for agreement: a theory of Time-Stochastic Dominance

  • Simon Dietz
  • Anca N. Matei

Many investments involve both a long time-horizon and risky returns. Making investment decisions thus requires assumptions about time and risk preferences. In the public sector in particular, such assumptions are frequently contested and there is no immediate prospect of universal agreement. Motivated by these observations, we develop a theory and method of finding �spaces for agreement�. These are combinations of classes of discount and utility function, for which one investment dominates another (or �almost� does so), so that all decision-makers whose preferences can be represented by such combinations would agree on the option to be chosen. The theory is built on combining the insights of stochastic dominance on the one hand, and time dominance on the other, thus offering a non-parametric approach to inter-temporal, risky choice.

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Paper provided by Grantham Research Institute on Climate Change and the Environment in its series GRI Working Papers with number 137.

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Date of creation: Oct 2013
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Handle: RePEc:lsg:lsgwps:wp137
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  8. Simon Dietz & Anca N. Matei, 2013. "Is there space for agreement on climate change? A non-parametric approach to policy evaluation," GRI Working Papers 136, Grantham Research Institute on Climate Change and the Environment.
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  15. Levy, Moshe, 2009. "Almost Stochastic Dominance and stocks for the long run," European Journal of Operational Research, Elsevier, vol. 194(1), pages 250-257, April.
  16. Partha Dasgupta, 2007. "The Stern Review's economics of climate change," National Institute Economic Review, National Institute of Economic and Social Research, vol. 199(1), pages 4-7, January.
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