This chapter provides an overview of the current methodology for assessing environmental health risks. Our primary focus is on the practices that U.S. regulatory agencies use for assessing cancer risk, although we also provide a brief comparison to the methodology used in Western Europe. We then...

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 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...

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...

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 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...

We model biological invasions as an unintended by-product of capital accumulation. We distinguish three spillover effects: (1) a negative production externality, (2) a negative or positive consumption externality and (3) an increase in the risk of future welfare loss. We also consider the...

The complexity of integrated assessment models (IAMs) prevents the direct appreciation of the impact of uncertainty on the model predictions. However, for a full understanding and corroboration of model results, analysts might be willing, and ought to identify the model inputs that influence the...

I show that rising temperatures can detrimentally affect the sovereign creditworthiness of emerging economies. To this end, I collect long-term monthly temperature data of 54 emerging countries. I calculate a country's temperature deviation from its historical average, which approximates present...