Thomas Aronsson (), Karl-Gustaf Löfgren () and Kaj Nyström ()
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Thomas Aronsson: Department of Economics, Umeå University, Postal: S 901 87 Umeå, Sweden
Karl-Gustaf Löfgren: Department of Economics, Umeå University, Postal: S 901 87 Umeå, Sweden
Kaj Nyström: Department of Mathematics, Postal: Umeå University, S 901 87 Umeå, Sweden
Abstract: In this paper, we introduce cost benefit rules for projects embedded in a stochastic optimal growth framework. We model uncertainty in terms of Brownian motion and Ito integrals. Taking the mathematical expectation of the project means that the Ito integrals vanish, and we end up with a cost benefit rule that closely resembles its deterministic counterpart.
Keywords: Cost benefit analysis; stochastic optimal control theory; Brownian motion
12 pages, March 26, 2003
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