For choice with deterministic consequences, the standard rationality hypothesis is ordinality, i.e., maximization of a weak preference ordering. For choice under risk (resp. uncertainty), preferences are assumed to be represented by the objectively (resp. subjectively) expected value of a von...

I solve the life-cycle portfolio allocation problem of a disappointment averse (DA) agent with labor income risk. DA preferences overweight disappointing outcomes and are consistent with behavior highlighted by the Allais paradox. I show that unlike constant relative risk aversion (CRRA)...

I solve the life-cycle portfolio allocation problem of a disappointment averse (DA) agent. DA agents overweight disappointing outcomes. Unlike expected utility investors, DA investors drastically cut their allocation to stocks around retirement due to a distinct effect associated with the drop...

We propose a model of history-dependent risk attitude, allowing a decision maker's risk attitude to be affected by his history of disappointments and elations. The decision maker recursively evaluates compound risks, classifying realizations as disappointing or elating using a threshold rule. We...

At a time when policy makers want to change the behaviour of citizens to tackle a broad range of social problems, such as climate change, excessive drinking, obesity and crime, a promising new policy approach has appeared that seems capable of escaping the liberal reservations typically...

This paper summarizes scientific thought on the likelihood of Climate Change and explores potential implications for retirement planning. The thoughts of several authors are combined to place Climate Change risk within the context of Black Swans and Deep Risk and describe implications for...

This article extends one of the primary models used for calculating the Social Cost of Carbon (SCC), DICE, to account for uncertainty regarding economic damages per additional warming degree and uncertainty over the temperature response from doubling atmospheric CO2. Coupled with consumption...

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d’Orey (1987; 1994) to assess which uncertainties are the potential...

This paper proposes an operationally simple and easily generalizable methodology to incorporate climate change damage uncertainty into Integrated Assessment Models (IAMs). Uncertainty is transformed into a risk-premium, damage-correction, region-specific factor by extracting damage distribution...

This PDF document was made available as a public service of the RAND Corporation.This study explores elements of robust strategies for exploiting the use of natural gas to minimize potential consequences from shifting to an energy mix that is increasingly dominated by domestic and imported...