2009
DOI: 10.1016/j.ejor.2007.10.023
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Investment and the dynamic cost of income uncertainty: The case of diminishing expectations in agriculture

Abstract: This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochastic programming approach. The motivation is given by a case study in Finnish agriculture. Investment decision is modelled as a Markov decision process, extended to account for risk.A numerical framework for studying the dynamic uncertainty cost is presented, modifying the classical expected value of perfect information to a dynamic setting. The uncertainty cost depends on the volatility of income; e.g. with stat… Show more

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Cited by 17 publications
(18 citation statements)
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“…A novelty in this paper is to study the exit and reentry decision assuming a discrete time mean-reverting income process. In numerical examples, the case of a 100% recovery rate is observed to imply disinvestment, motivating the extension of the investment model in Heikkinen and Pietola (2007) to disinvestment.…”
Section: Introductionmentioning
confidence: 96%
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“…A novelty in this paper is to study the exit and reentry decision assuming a discrete time mean-reverting income process. In numerical examples, the case of a 100% recovery rate is observed to imply disinvestment, motivating the extension of the investment model in Heikkinen and Pietola (2007) to disinvestment.…”
Section: Introductionmentioning
confidence: 96%
“…For example in dairy production, the new 141-program implies that 141-support decreases from 2007 level by 11% during 2008-2011 and by 16% by year 2013. Agricultural income being determined by policy processes is constantly subject to policy uncertainty. Previous work in OECD (2000) and Heikkinen and Pietola (2007) address the role of expectations about future EU support to investment decisions in a dynamic setting. This paper is based on Heikkinen (2007) and extends Heikkinen and Pietola (2007) in two ways.…”
Section: Introductionmentioning
confidence: 99%
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