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Discount factors ex post and ex ante, and discounted utility anomalies Author info | Abstract | Publisher info | Download info | Related research | Statistics Svetlana Boyarchenko (The University of Texas, Austin)
Sergei Levendorskii (The University of Texas, Austin)
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The real options approach is used to explain discounted utility anomalies as artifacts of the optimizing behavior of an individual with standard preferences, who perceives the utility from consumption in the future as uncertain. For this ndividual, waiting is valuable because uncertainty is revealed over time. The fair price (or compensation) that the individual agrees to pay (or accept) today is the expected value of utility of the future gain (or loss) multiplied by a certain non- exponential factor which weinterpret as a discount factor ex ante. The factors ex ante are different for gains and losses, and depend on the utility function and underlying uncertainty. After the decision of exchange had been made, valuation ex post reduces to calculation of the standard expected present value. We provide analytic expressions and numerical examples for discount factors assuming different utility functions and models of uncertainty, and demonstrate that our explanation of discounted utility anomalies is robust.
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Paper provided by EconWPA in its series Microeconomics with number
0510013.
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Length: 36 pages
Date of creation: 27 Oct 2005Date of revision:
17 Nov 2005Handle: RePEc:wpa:wuwpmi:0510013Note: Type of Document - pdf; pages: 36Contact details of provider: Web page: http://129.3.20.41
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Keywords: real options ; time preference ; discounted utility anomalies ; Other versions of this item:
Find related papers by JEL classification: D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
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